Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA | Paper Citation Record

Observation 00205e8f-4197-4d46-99c7-87f60b12607f · outbound

This paper cites Google vizier: A service for black-box optimization.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Google vizier: A service for black-box optimization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

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Observation 11565bdd-de3b-4103-90c4-2d865d6dd3d2 · outbound

This paper cites Black-box optimization for automated discovery.Accounts of Chemical Research, 54(6):1334–1346, 2021.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Black-box optimization for automated discovery.Accounts of Chemical Research, 54(6):1334–1346, 2021

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

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This paper cites Metabox: A benchmark platform for meta-black-box optimization with reinforcement learning.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Metabox: A benchmark platform for meta-black-box optimization with reinforcement learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

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Observation e3274010-93c6-4087-82e8-6444ce169188 · outbound

This paper cites Saea: A security-aware and energy-aware task scheduling strategy by parallel squirrel search algorithm in cloud envi- ronment.Expert Systems with Applications, 176:114915, 2021.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Saea: A security-aware and energy-aware task scheduling strategy by parallel squirrel search algorithm in cloud envi- ronment.Expert Systems with Applications, 176:114915, 2021

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

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This paper cites an unresolved cited work.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

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Observation 8986f724-b270-429e-92ce-8185eb892712 · outbound

This paper cites The rbf hyperparameter in evolutionary surrogate-assisted optimization.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA The rbf hyperparameter in evolutionary surrogate-assisted optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

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Observation 55416218-d9f9-4b5e-991c-d0425f3603de · outbound

This paper cites A comparative study on surrogate models for saeas.Optimization Letters, 14(8):2595–2614, 2020.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A comparative study on surrogate models for saeas.Optimization Letters, 14(8):2595–2614, 2020

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

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Observation 16cf8dc4-1360-49ff-b03d-c8f45b1d1285 · outbound

This paper cites Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimiza- tion.Expert Systems with Applications, 214:119075, 2023.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimiza- tion.Expert Systems with Applications, 214:119075, 2023

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

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Observation 777da154-010c-4689-ad38-38e81e911aa6 · outbound

This paper cites Designx: Human-competitive algorithm designer for black-box optimization.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Designx: Human-competitive algorithm designer for black-box optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

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Observation 85de5a1a-797d-487e-a225-39df96de4b79 · outbound

This paper cites A surrogate-assisted evolution strategy for constrained multi-objective optimization.Expert Systems with Applications, 57:270–284, 2016.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A surrogate-assisted evolution strategy for constrained multi-objective optimization.Expert Systems with Applications, 57:270–284, 2016

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

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Observation fa2b6945-bd11-4cbc-a5f1-639bd6ebe765 · outbound

This paper cites A survey of surrogate-assisted evolutionary algorithms for expensive opti- mization.Journal of Membrane Computing, pages 1–20, 2024.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A survey of surrogate-assisted evolutionary algorithms for expensive opti- mization.Journal of Membrane Computing, pages 1–20, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

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Observation 0a811210-817b-4750-a006-6a2098471817 · outbound

This paper cites Auto-configuring exploration-exploitation tradeoff in evolution- ary computation via deep reinforcement learning.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Auto-configuring exploration-exploitation tradeoff in evolution- ary computation via deep reinforcement learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

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Observation a0572c83-b97d-4a1a-be5e-617adbdc2a0d · outbound

This paper cites Multi-agent dynamic algorithm configuration.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Multi-agent dynamic algorithm configuration

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

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Observation 5d487b9a-c9de-48d2-8967-c803b5acc614 · outbound

This paper cites Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:42:25.772577Z

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This paper cites an unresolved cited work.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62da4f18-7d34-45bf-a0ce-0ab885a3cec7 · outbound

This paper cites Deep reinforcement learning based parameter control in 32 differential evolution.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Deep reinforcement learning based parameter control in 32 differential evolution

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0a4ce38-0306-4c97-b21a-7eb8c3ccd4cb · outbound

This paper cites A reinforcement learning level- based particle swarm optimization algorithm for large-scale optimiza- tion.Information Sciences, 602:298–312, 2022.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A reinforcement learning level- based particle swarm optimization algorithm for large-scale optimiza- tion.Information Sciences, 602:298–312, 2022

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

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Observation 429980bb-e1f1-4bfd-b9a3-ff1a90c2d996 · outbound

This paper cites A hyperheuristic and rein- forcement learning guided meta-heuristic algorithm recommendation.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A hyperheuristic and rein- forcement learning guided meta-heuristic algorithm recommendation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

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Observation 41cb67e3-deca-48e2-adcf-7456528f92fb · outbound

This paper cites Deep reinforcement learn- ing assisted surrogate model management for expensive constrained multi-objective optimization.Swarm and Evolutionary Computation, 92:101817, 2025.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Deep reinforcement learn- ing assisted surrogate model management for expensive constrained multi-objective optimization.Swarm and Evolutionary Computation, 92:101817, 2025

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

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Observation 0866e941-8c68-4bbd-9b2f-1a9204a11f84 · outbound

This paper cites An improved bagging ensemble surrogate-assisted evolutionary algorithm for expen- sive many-objective optimization.Applied Intelligence, 52(6):5949–5965, 2022.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA An improved bagging ensemble surrogate-assisted evolutionary algorithm for expen- sive many-objective optimization.Applied Intelligence, 52(6):5949–5965, 2022

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c372a39d-8ddd-4e07-973e-93a23a0880c4 · outbound

This paper cites Offlinedata- driven evolutionary optimization using selective surrogate ensembles.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Offlinedata- driven evolutionary optimization using selective surrogate ensembles

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 212bdc07-cfef-4e15-9e32-c1d176b15bde · outbound

This paper cites A bagging-based surrogate-assisted evolutionary algorithm for expen- sive multi-objective optimization.Neural Computing and Applications, 34(14):12097–12118, 2022.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A bagging-based surrogate-assisted evolutionary algorithm for expen- sive multi-objective optimization.Neural Computing and Applications, 34(14):12097–12118, 2022

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2fc22e4-f413-412e-8590-c1ead2c3ce3d · outbound

This paper cites an unresolved cited work.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca32690-f125-49e0-9f7f-32fd32ac7c28 · outbound

This paper cites The boosting approach to machine learning: An overview.Nonlinear estimation and classification, pages 149–171, 2003.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA The boosting approach to machine learning: An overview.Nonlinear estimation and classification, pages 149–171, 2003

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

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Observation 85b235fa-59f2-477a-911e-648ea9371e87 · outbound

This paper cites Ray: A distributed framework for emerging {AI}applications.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Ray: A distributed framework for emerging {AI}applications

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff501e7-126c-483d-81d2-48539861bc11 · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.Nature, 637(8045):319–326, 2025.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Accurate predictions on small data with a tabular foundation model.Nature, 637(8045):319–326, 2025

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

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Observation 8cdb53bc-3ca4-4c56-a480-4497d05a37d2 · outbound

This paper cites Toward automated algorithm design: A survey and practical guide to meta-black-box-optimization.IEEE Transactions on Evolutionary Computation, 2025.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Toward automated algorithm design: A survey and practical guide to meta-black-box-optimization.IEEE Transactions on Evolutionary Computation, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce94f613-f547-474d-beff-8083d05d3d51 · outbound

This paper cites Meta-black- box optimization for evolutionary algorithms: Review and perspective.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Meta-black- box optimization for evolutionary algorithms: Review and perspective

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00bbf22d-0122-4b79-beeb-d675e60c1715 · outbound

This paper cites Meta-black-box optimization with bi-space landscape analysis and dual-control mechanism for saea.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Meta-black-box optimization with bi-space landscape analysis and dual-control mechanism for saea

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:42:25.782188Z

Source-reported events for the cited work

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Observation a0f11b93-433b-4310-bff7-0d3f303873ac · outbound

This paper cites arXiv preprint arXiv:2509.15810 , year=.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA arXiv preprint arXiv:2509.15810 , year=

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:42:25.781443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d7bab352-3317-48ac-93bc-f6e1e4870e71 · outbound

This paper cites Meta-Black-Box-Optimization through Offline Q-function Learning.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Meta-Black-Box-Optimization through Offline Q-function Learning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:42:25.759635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2cc6302b-ef91-4152-8250-2c918c11c111 · outbound

This paper cites Metabox- v2: A unified benchmark platform for meta-black-box optimization.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Metabox- v2: A unified benchmark platform for meta-black-box optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c67a1a-84c8-4bdb-bdfc-12f132be9320 · outbound

This paper cites Automated selection of evolutionary multi-objective optimization algorithms.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Automated selection of evolutionary multi-objective optimization algorithms

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9530ac4b-36b8-4de7-a1d7-8ebb5a0f7213 · outbound

This paper cites Selecting meta-heuristics for solv- ing vehicle routing problems with time windows via meta-learning.Ex- pert Systems with Applications, 118:470–481, 2019.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Selecting meta-heuristics for solv- ing vehicle routing problems with time windows via meta-learning.Ex- pert Systems with Applications, 118:470–481, 2019

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 704a65d7-e18a-471d-af63-a2f2a0780e1c · outbound

This paper cites Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T17:42:25.775579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 974da768-bc7d-41f2-9270-809ca500ecf6 · outbound

This paper cites Reinforcement-learning-based parameter adap- tation method for particle swarm optimization.Complex & Intelligent Systems, 9(5):5585–5609, 2023.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Reinforcement-learning-based parameter adap- tation method for particle swarm optimization.Complex & Intelligent Systems, 9(5):5585–5609, 2023

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd486b9-c5bc-4967-bcf6-55f7effdb843 · outbound

This paper cites Employing reinforcement learning to en- hance particle swarm optimization methods.Engineering Optimization, 54(2):329–348, 2022.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Employing reinforcement learning to en- hance particle swarm optimization methods.Engineering Optimization, 54(2):329–348, 2022

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8b347b3-a823-4f36-8c17-bf2f4b3aaeba · outbound

This paper cites A new reinforcement learning-based memetic particle swarm optimizer.Applied Soft Computing, 43:276–297, 2016.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A new reinforcement learning-based memetic particle swarm optimizer.Applied Soft Computing, 43:276–297, 2016

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc1837c-f39c-4482-bc15-358d500ed9fa · outbound

This paper cites an unresolved cited work.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bed4d0ff-6d19-4edf-9d8b-1e043f62a09f · outbound

This paper cites Large language model for multiobjective evolutionary optimization.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Large language model for multiobjective evolutionary optimization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b889432b-5e0e-4f72-bab5-822b82e96cb3 · outbound

This paper cites Large language models as optimizers.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Large language models as optimizers

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab40d95-b7ce-42d5-a1fd-dbd347f692b7 · outbound

This paper cites Automated design of metaheuristics using reinforcement learning within a novel general 35 search framework.IEEE Transactions on Evolutionary Computation, 27(4):1072–1084, 2022.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Automated design of metaheuristics using reinforcement learning within a novel general 35 search framework.IEEE Transactions on Evolutionary Computation, 27(4):1072–1084, 2022

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d2dde70-abc3-4f68-a2fb-9d3d4f82e6e3 · outbound

This paper cites Neural exploratory landscape analysis for meta-black-box-optimization.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Neural exploratory landscape analysis for meta-black-box-optimization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989d25ee-f54d-4486-ad95-4ee0a9a1549c · outbound

This paper cites Llm driven design of continuous optimiza- tion problems with controllable high-level properties.arXiv preprint arXiv:2601.18846, 2026.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Llm driven design of continuous optimiza- tion problems with controllable high-level properties.arXiv preprint arXiv:2601.18846, 2026

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:42:25.769174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7f4a9e41-31f1-4851-a8b5-74b434fa7b6f · outbound

This paper cites Linear subspace surrogate modeling for large-scale expensive single/multi-objective optimization.IEEE Transactions on Evolutionary Computation, 2023.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Linear subspace surrogate modeling for large-scale expensive single/multi-objective optimization.IEEE Transactions on Evolutionary Computation, 2023

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b920275d-a028-47f1-9692-c14b3b27eeb1 · outbound

This paper cites Safe: Scale-adaptive fitness evaluation method for expensive optimization problems.IEEE Transactions on Evolutionary Computation, 25(3):478–491, 2021.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Safe: Scale-adaptive fitness evaluation method for expensive optimization problems.IEEE Transactions on Evolutionary Computation, 25(3):478–491, 2021

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

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Unavailable: canonical work link unavailable.

Observation 853233fe-141d-4b5f-9f4a-7505a4a1895f · outbound

This paper cites an unresolved cited work.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a13a717-e082-497e-9c74-6efa082948cb · outbound

This paper cites an unresolved cited work.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ed2377-fd67-4dc9-b184-91917cd147bd · outbound

This paper cites A twofold infill criterion-driven heterogeneous ensemble surrogate-assisted evolutionary algorithm for computationally expensive problems.Knowledge-Based Systems, 236:107747, 2022.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A twofold infill criterion-driven heterogeneous ensemble surrogate-assisted evolutionary algorithm for computationally expensive problems.Knowledge-Based Systems, 236:107747, 2022

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3a06c7f-ac50-44bc-9fcb-1177a35981bc · outbound

This paper cites Heteroge- neous ensemble-based infill criterion for evolutionary multiobjective op- timization of expensive problems.IEEE transactions on cybernetics, 49(3):1012–1025, 2018.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Heteroge- neous ensemble-based infill criterion for evolutionary multiobjective op- timization of expensive problems.IEEE transactions on cybernetics, 49(3):1012–1025, 2018

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77cbca05-2763-4271-857d-a9eaa9028641 · outbound

This paper cites Surrogate-assisted evolution- ary algorithm with hierarchical surrogate technique and adaptive infill strategy.Expert Systems with Applications, 232:120826, 2023.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Surrogate-assisted evolution- ary algorithm with hierarchical surrogate technique and adaptive infill strategy.Expert Systems with Applications, 232:120826, 2023

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab72bae-e194-44af-a852-5b08790b47ad · outbound

This paper cites A review of surrogate-assisted evolutionary algorithms for expensive optimization problems.Expert Systems with Applications, 217:119495, 2023.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A review of surrogate-assisted evolutionary algorithms for expensive optimization problems.Expert Systems with Applications, 217:119495, 2023

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c64a83-38b6-49ee-b067-9ce348b97245 · outbound

This paper cites A kriging-assisted two-archive evolutionary algorithm for expensive many- objective optimization.IEEE Transactions on Evolutionary Computa- tion, 25(6):1013–1027, 2021.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A kriging-assisted two-archive evolutionary algorithm for expensive many- objective optimization.IEEE Transactions on Evolutionary Computa- tion, 25(6):1013–1027, 2021

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e69bac60-cce2-4ae6-b87d-a026c180cd70 · outbound

This paper cites A surrogate-assisted constrained optimization evolutionary algorithm by searching multiple kinds of global and local regions.IEEE Transactions on Evolutionary Computation, 2023.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A surrogate-assisted constrained optimization evolutionary algorithm by searching multiple kinds of global and local regions.IEEE Transactions on Evolutionary Computation, 2023

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 492af254-be91-4dab-ab8c-dc665af424bd · outbound

This paper cites an unresolved cited work.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7906b3f-473e-4bc5-a683-6d8371b057a9 · outbound

This paper cites A two- stage surrogate-assisted evolutionary algorithm (ts-saea) for expensive multi/many-objective optimization.Swarm and Evolutionary Compu- tation, 73:101107, 2022.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A two- stage surrogate-assisted evolutionary algorithm (ts-saea) for expensive multi/many-objective optimization.Swarm and Evolutionary Compu- tation, 73:101107, 2022

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4381c320-943b-4a2b-a236-05b443535e45 · outbound

This paper cites Classificationandregressiontrees, bagging, andboost- ing.Handbook of statistics, 24:303–329, 2005.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Classificationandregressiontrees, bagging, andboost- ing.Handbook of statistics, 24:303–329, 2005

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb8d7923-ce8a-4524-8e5b-ce04589b7916 · outbound

This paper cites Gradient boosting machines, a tutorial.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Gradient boosting machines, a tutorial

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a87305af-dd2e-412a-8646-488f30a82c36 · outbound

This paper cites Amortized inference for causal structure learning.Ad- vances in Neural Information Processing Systems, 35:13104–13118, 2022.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Amortized inference for causal structure learning.Ad- vances in Neural Information Processing Systems, 35:13104–13118, 2022

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 624b9c9f-39a8-4b8b-a1a6-0c712feeb31b · outbound

This paper cites Tabpfn: A transformer that solves small tabular classification 37 problems in a second.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Tabpfn: A transformer that solves small tabular classification 37 problems in a second

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9439e4f5-97c6-4c1a-bfe7-75ad3c6a7446 · outbound

This paper cites Transformers can do bayesian inference.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Transformers can do bayesian inference

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 865df974-9243-4412-9e2c-f19605e3dd16 · outbound

This paper cites an unresolved cited work.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f80fd87b-c97b-41d8-971a-62540d34488e · outbound

This paper cites Expensive multi-objective bayesian optimization based on diffusion models.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Expensive multi-objective bayesian optimization based on diffusion models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d91be1b6-53fa-4808-b697-c3fbbd6cf89f · outbound

This paper cites Differen- tiable expected hypervolume improvement for parallel multi-objective bayesian optimization.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Differen- tiable expected hypervolume improvement for parallel multi-objective bayesian optimization

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3b72448-b57d-4d15-8ee4-174e87c220ce · outbound

This paper cites Data-driven evolution- ary sampling optimization forexpensive problems.Journal of Systems Engineering and Electronics, 32(2):318–330, 2021.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Data-driven evolution- ary sampling optimization forexpensive problems.Journal of Systems Engineering and Electronics, 32(2):318–330, 2021

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2c043e3-268a-429b-824b-d4a736db745f · outbound

This paper cites an unresolved cited work.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 492fb37b-f9bd-44e7-8f91-ffe1bbb1afca · outbound

This paper cites Multiobjective evolutionary algo- rithms: a comparative case study and the strength pareto approach.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Multiobjective evolutionary algo- rithms: a comparative case study and the strength pareto approach

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9c12ae8-9324-4dc3-98e6-90de2fe7d60f · outbound

This paper cites A multi-stage expensive constrained multi-objective optimization algorithm based on ensemble infill crite- rion.IEEE Transactions on Evolutionary Computation, 2024.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A multi-stage expensive constrained multi-objective optimization algorithm based on ensemble infill crite- rion.IEEE Transactions on Evolutionary Computation, 2024

Reference 68

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4156a3-b152-431d-858c-282316903321 · outbound

This paper cites Exploratory landscape analysis.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Exploratory landscape analysis

Reference 69

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcee314d-ff8f-404d-8434-10f05ec952c9 · outbound

This paper cites Comprehensive feature-based landscape analysis of continuous and constrained optimization problems using the r-package flacco.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Comprehensive feature-based landscape analysis of continuous and constrained optimization problems using the r-package flacco

Reference 70

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99668038-9dbd-47c3-b43c-d704a13f5f3f · outbound

This paper cites Human-level control through deep reinforcement learning.nature, 518(7540):529–533, 2015.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Human-level control through deep reinforcement learning.nature, 518(7540):529–533, 2015

Reference 71

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bb43b8a-7a91-46ec-bafd-dfaf0d65188e · outbound

This paper cites Efficient multiobjective optimization employing gaussian processes, spectral sam- pling and a genetic algorithm.Journal of global optimization, 71(2):407– 438, 2018.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Efficient multiobjective optimization employing gaussian processes, spectral sam- pling and a genetic algorithm.Journal of global optimization, 71(2):407– 438, 2018

Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f36323e7-d0db-42aa-9109-61e026bb3827 · outbound

This paper cites Diversity-guided multi-objective bayesian optimization with batch eval- uations.Advances in neural information processing systems, 33:17708– 17720, 2020.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Diversity-guided multi-objective bayesian optimization with batch eval- uations.Advances in neural information processing systems, 33:17708– 17720, 2020

Reference 73

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdcd6936-745e-485f-9f84-5dc1c84cfc93 · outbound

This paper cites Ex- pensive multiobjective optimization by moea/d with gaussian process model.IEEE Transactions on Evolutionary Computation, 14(3):456– 474, 2009.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Ex- pensive multiobjective optimization by moea/d with gaussian process model.IEEE Transactions on Evolutionary Computation, 14(3):456– 474, 2009

Reference 74

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61c73d6a-a6f5-428b-9086-9d9a507e1e1b · outbound

This paper cites Uncertainty-aware search framework for multi- objective bayesian optimization.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Uncertainty-aware search framework for multi- objective bayesian optimization

Reference 75

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff46d3c-16fb-4d6d-b5ca-1326565eefd7 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: Nsga-ii.IEEE transactions on evolutionary computation, 6(2):182–197, 2002.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A fast and elitist multiobjective genetic algorithm: Nsga-ii.IEEE transactions on evolutionary computation, 6(2):182–197, 2002

Reference 76

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 508ba3ce-88d0-4dc7-8240-27df660151cf · outbound

This paper cites A fitness landscape ruggedness multiobjective differential evolution algorithm with a rein- forcement learning strategy.Applied Soft Computing, 96:106693, 2020.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA A fitness landscape ruggedness multiobjective differential evolution algorithm with a rein- forcement learning strategy.Applied Soft Computing, 96:106693, 2020

Reference 77

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29552d59-c92b-43d3-8837-deb38c78141d · outbound

This paper cites R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:42:25.779041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 671bba7a-63c8-40b4-b8b0-4ac3934a4274 · outbound

This paper cites Comparison of multiobjective evolutionary algorithms: Empirical results.Evolution- ary computation, 8(2):173–195, 2000.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Comparison of multiobjective evolutionary algorithms: Empirical results.Evolution- ary computation, 8(2):173–195, 2000

Reference 79

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 067ca4ab-a7ac-45ae-8f26-5f5c0eb12205 · outbound

This paper cites Scalable test problems for evolutionary multiobjective optimization.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Scalable test problems for evolutionary multiobjective optimization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0901163f-4cd8-471b-90fb-8364f090f21f · outbound

This paper cites An easy-to-use real-world multi- objective optimization problem suite.Applied Soft Computing, 89:106078, 2020.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA An easy-to-use real-world multi- objective optimization problem suite.Applied Soft Computing, 89:106078, 2020

Reference 81

Resolution: unresolved; no resolver link, observed 2026-06-28T17:41:40.567807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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