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Paper Citation Record · LEDGER

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization

As of 5 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2605.15729.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.15729 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T19:42:25.936821Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation acdb478b-df6b-4156-94b7-e20a969bf0d6 · outbound

This paper cites an unresolved cited work.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Unresolved cited work

Reference 1

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unresolved
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Source-reported events for the cited work

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Observation e96b499a-fc36-4611-8577-ec6e43538cd8 · outbound

This paper cites Multi- objective optimization for resource allocation in vehicular cloud com- puting networks.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Multi- objective optimization for resource allocation in vehicular cloud com- puting networks

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4e7d9d13-c3d7-4a76-9f14-b1afe0b5375e · outbound

This paper cites A greedy cooperative co-evolutionary algorithm with problem-specific knowledge for multiobjective flowshop group scheduling problems.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization A greedy cooperative co-evolutionary algorithm with problem-specific knowledge for multiobjective flowshop group scheduling problems

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 66987c72-a31d-4928-bdb2-b27a6b20b3ac · outbound

This paper cites An improved NSGAII for integrated container scheduling problems with two transshipment routes.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization An improved NSGAII for integrated container scheduling problems with two transshipment routes

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation acbb49c7-0a87-4583-b679-265ee9eb0333 · outbound

This paper cites Efficient minimum cost seed selection with theoretical guarantees for competitive influence maximization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Efficient minimum cost seed selection with theoretical guarantees for competitive influence maximization

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7ac74169-ca1f-4210-b5b9-005c5b5a70cd · outbound

This paper cites A survey of automatic parameter tuning methods for metaheuristics.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization A survey of automatic parameter tuning methods for metaheuristics

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5e89eeb6-5cd6-4665-a433-7e80338cf5b7 · outbound

This paper cites Model-based genetic algorithms for algorithm configuration.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Model-based genetic algorithms for algorithm configuration

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation bc0c0398-ca82-435b-882c-a81895cc8325 · outbound

This paper cites The irace package: Iterated racing for automatic algorithm configura- tion.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization The irace package: Iterated racing for automatic algorithm configura- tion

Reference 8

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raw_fallback, observed 2026-05-19T19:42:44.297413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:4cc7e150f13fac2cf89ddea7ad1151c1f6e2b685f90d0cec41ea86ba3ffaf49a

Observation 9ee53ab9-4b38-4b48-8e68-9db118e26f83 · outbound

This paper cites Sequential model-based optimization for general algorithm configuration.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Sequential model-based optimization for general algorithm configuration

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:279eda9915cca509fc0ec8f7dfbfae3bf7a5be14d905a68c269d9a68b9b1d9ee

Observation 8f0bafda-dcc0-42bd-9242-ebfafb8527d9 · outbound

This paper cites On performance estimation in automatic algorithm configuration.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization On performance estimation in automatic algorithm configuration

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:5f55d3dbab003f08f16b1c2964b62eb8c9ee86f5e948787b361feaf51050496e

Observation 50ecc435-6373-4aab-86f6-4d915327dd12 · outbound

This paper cites Automatic construction of parallel portfolios via algorithm configuration.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Automatic construction of parallel portfolios via algorithm configuration

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:8c0b34002a9e21e3d0c7b216c75d96ff07067c6e56955743aa37972e0b80c03c

Observation 046100d9-32fa-4fb1-92e7-1b925d02767f · outbound

This paper cites ISAC - instance-specific algorithm configuration.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization ISAC - instance-specific algorithm configuration

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:2b39192c3dcb311a0331a24be718b43a8358cd4670db98a235d9a6876a4c0b2a

Observation dee90b56-af65-4f4d-905e-459b654877c7 · outbound

This paper cites Hydra: Automatically configuring algorithms for portfolio-based selection.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Hydra: Automatically configuring algorithms for portfolio-based selection

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:f65c4b855a8354009bd17883eda7814511c680e1d311ca3f82fe06ff6742de38

Observation a39d5276-0cea-4c20-a00c-3d919bb503d3 · outbound

This paper cites Automatic construction of parallel portfolios via explicit instance grouping.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Automatic construction of parallel portfolios via explicit instance grouping

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 65621a11-c84d-4566-826f-9b4be3bc2ebb · outbound

This paper cites An economics approach to hard computational problems.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization An economics approach to hard computational problems

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 56875c76-0064-40e3-a5fa-f7f50e7a70da · outbound

This paper cites Algorithm portfolios.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Algorithm portfolios

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation bc708406-d7c6-4f80-a2bc-11f6615e4713 · outbound

This paper cites an unresolved cited work.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 948d9407-5cff-467b-912e-aa602454fcab · outbound

This paper cites Learn to optimize-a brief overview.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Learn to optimize-a brief overview

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4fd3ea37-6056-4dd8-9377-8e631b8a6972 · outbound

This paper cites Generating new test instances by evolving in instance space.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Generating new test instances by evolving in instance space

Reference 19

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raw_fallback, observed 2026-05-19T19:42:44.202565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:6768118a3b23ea390925345a523a4743a6ce5ab6da89124a39def881f91a9ee4

Observation e738ddea-a9ea-4f21-abc7-9b7b4b43f076 · outbound

This paper cites Few-shots parallel algorithm portfolio construction via co-evolution.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Few-shots parallel algorithm portfolio construction via co-evolution

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:8657baa07f6f373aebf31ce8cb1b35a504d3c545306f91f1782a5178dc3e0e7d

Observation 9874393d-9e93-4595-a067-c783cdc4bff4 · outbound

This paper cites Generative adversarial construction of parallel portfolios.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Generative adversarial construction of parallel portfolios

Reference 21

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raw_fallback, observed 2026-05-19T19:42:44.272418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:285974e6c29ff0b023c9ae9144ad8e14be613c708f24f5b8b6e001eb07dabb56

Observation ab76aee3-e44c-4084-b91f-7233fadabe5e · outbound

This paper cites ASP: learn a universal neural solver!.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization ASP: learn a universal neural solver!

Reference 22

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raw_fallback, observed 2026-05-19T19:42:44.207442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:a5514f54cdb4802920f16a2eaeab0c64bba7bc8d1f857eac58b69c809c09f131

Observation b5886c56-3647-4239-b687-1cdf0a1aa880 · outbound

This paper cites Evolving generalizable parallel algorithm portfolios for binary optimization problems via domain- agnostic instance generation.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Evolving generalizable parallel algorithm portfolios for binary optimization problems via domain- agnostic instance generation

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:d6b8d80061ae2794f50a65e0a4eec7ebd2457b9ae427a02b47f138ae05b2e1d1

Observation 00698bf6-aefd-4cee-a5b8-2307077d7b99 · outbound

This paper cites Enhanced evolution of parallel algorithm portfolio for vehicle routing problem via transfer optimization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Enhanced evolution of parallel algorithm portfolio for vehicle routing problem via transfer optimization

Reference 24

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raw_fallback, observed 2026-05-19T19:42:44.225541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:b6618e58a9f28915dc35d9e5374d445dca47133f4a2cc6465a1233d4e2ab96fd

Observation 55d11dfb-2a26-4da4-9491-37f9fc6c3d1c · outbound

This paper cites Benchmarking moeas for multi- and many- objective optimization using an unbounded external archive.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Benchmarking moeas for multi- and many- objective optimization using an unbounded external archive

Reference 25

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raw_fallback, observed 2026-05-19T19:42:44.233676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:0d3c83310c84ff4d02bf9b7b54a325a38f71ac7cc88e5b68acbdec81a22805b0

Observation 499cbcb9-a828-46fe-8aab-9b0fe6346d28 · outbound

This paper cites Comparison between MOEA/D and NSGA-III on a set of novel many and multi- objective benchmark problems with challenging difficulties.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Comparison between MOEA/D and NSGA-III on a set of novel many and multi- objective benchmark problems with challenging difficulties

Reference 26

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raw_fallback, observed 2026-05-19T19:42:44.221432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:f4546c7207378bf5421e3a6598d2ef47959629bcc59ff747d280e9f9920a733e

Observation de8a2688-6708-4ff9-ad57-50fa8826f006 · outbound

This paper cites Performance comparison of NSGA-II and NSGA-III on various many-objective test problems.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Performance comparison of NSGA-II and NSGA-III on various many-objective test problems

Reference 27

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raw_fallback, observed 2026-05-19T19:42:44.280201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:cbd2bc60772f53f696fbb231106c80b9b14ba118be771e11e232f597d602d2c6

Observation 59b59793-481b-446f-89a7-4ea80c81e320 · outbound

This paper cites Mathematical discoveries from program search with large language models.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Mathematical discoveries from program search with large language models

Reference 28

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raw_fallback, observed 2026-05-19T19:42:44.215657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:73788391dde1504ec4a9f593bf5ab80610e63d514ae065be795fcf8bbd3aea0a

Observation 7fbcdb4f-3909-4f82-a375-7d6e477218e2 · outbound

This paper cites Evolution of heuristics: Towards efficient automatic algorithm design using large language model.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Evolution of heuristics: Towards efficient automatic algorithm design using large language model

Reference 29

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raw_fallback, observed 2026-05-19T19:42:44.199950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:3dc212245bff257aa21453f7e94b16522706126ee0ef09d31dd93e1243468395

Observation d1e623a9-d6de-4b58-b7fb-56ea828321f2 · outbound

This paper cites Reevo: Large language models as hyper-heuristics with reflective evolution.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Reevo: Large language models as hyper-heuristics with reflective evolution

Reference 30

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raw_fallback, observed 2026-05-19T19:42:44.276157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:8a623acd3517a568ea4e3bc1a7e097e37ad6ad7beb79b1158e9f7010e9aa3829

Observation 82ff641a-9503-4f0b-aa99-8ad5b72b190a · outbound

This paper cites LLM- driven instance-specific heuristic generation and selection.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization LLM- driven instance-specific heuristic generation and selection

Reference 31

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arxiv_id, observed 2026-05-19T19:42:44.121876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:23a2703d7cbbf9a8882bb89491a5c8d06618a107a33a0492350d4aab661619d3

Observation e70f9fa3-7ad1-4771-8993-c67bf83f2f3d · outbound

This paper cites Monte carlo tree search for comprehensive exploration in LLM-based automatic heuristic design.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Monte carlo tree search for comprehensive exploration in LLM-based automatic heuristic design

Reference 32

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raw_fallback, observed 2026-05-19T19:42:44.285784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:e0588ce176d4226d6397ae2e2f6d2a36a2f114e373c2fa846f43caa79da04bc7

Observation b796b055-98ae-4b72-a9f9-d527470e2660 · outbound

This paper cites In-the-loop hyper-parameter optimization for LLM-based automated design of heuristics.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization In-the-loop hyper-parameter optimization for LLM-based automated design of heuristics

Reference 33

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verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.227826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:775e9352397be226768586888a6b335d99445ffeee194116b8e58f2482189a9f

Observation 1cf36813-7c58-43e0-9f57-17e7953682ae · outbound

This paper cites LLMOPT: learning to define and solve general optimization problems from scratch.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization LLMOPT: learning to define and solve general optimization problems from scratch

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.288258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:812d348512c871cd43bbf8f73b00f55302dfb24591595640f697512863a64657

Observation dfb61fb8-45bf-4daf-8626-53da5fd6add3 · outbound

This paper cites Multi-objective evolution of heuristic using large language model.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Multi-objective evolution of heuristic using large language model

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.211883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:9296a5ffded3587db44027903f21ad3fefe1f292b86a060f7e14b04ad91f2008

Observation 36985fdc-391a-4f18-8b84-0ab3c9a8055b · outbound

This paper cites Pareto-grid-guided large language models for fast and high- quality heuristics design in multi-objective combinatorial optimization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Pareto-grid-guided large language models for fast and high- quality heuristics design in multi-objective combinatorial optimization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.262985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:0cc2c7b200ed2e0b89c4a57f3c9e2fe68c356951429a5ef3b60d8a6ed6ae6950

Observation 34f11632-8b1e-4859-99b7-752010099708 · outbound

This paper cites Large language model for multiobjective evolutionary optimization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Large language model for multiobjective evolutionary optimization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.260238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:8d14278d0ab3814e70f7d432fc572ab0a44984216fe284c2f90c11d410f7525d

Observation 6336976e-914b-4fdb-9b88-008ebb322a72 · outbound

This paper cites Au- tonomous multi-objective optimization using large language model.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Au- tonomous multi-objective optimization using large language model

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.231693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:f7aa4cdffb8307eee315f0914b3f85d263ca79ad772b6c4e6a1ca772bd597123

Observation dff8f9d9-1091-4972-9e79-0152f92e99d6 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: NSGA-II.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization A fast and elitist multiobjective genetic algorithm: NSGA-II

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.291838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:63e9a77191a9cd00368e1525bb5c0e74559adf569c0be2ad396bf22401a6d32a

Observation 7e2f2754-0261-4886-8f00-c0a5cd740a20 · outbound

This paper cites An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.209941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:1204a0afc30076c9b1c75e219b845e2aa2b5ac2f140ad1b0a2c1d87a4593b016

Observation 4cd49cbe-ea3f-415c-915e-84d23b38eeb9 · outbound

This paper cites MOEA/D: A multiobjective evolutionary algorithm based on decomposition.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization MOEA/D: A multiobjective evolutionary algorithm based on decomposition

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.219457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:36e04c5d3cc552c0c6bb52555433d4359f7c54140d4ff886eb1412dc30e99978

Observation d9d3d243-cf7e-4d3b-b515-d74d0a18288e · outbound

This paper cites SPEA2: Improving the strength pareto evolutionary algorithm.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization SPEA2: Improving the strength pareto evolutionary algorithm

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.293837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:7ca5af09cbf0b7ac7d5864ebd280ca3abc0f676a1d64c0f55d0966a3a4bdcbe5

Observation 1d2fd802-6547-43bc-a025-76bceacc6b73 · outbound

This paper cites Surrogate-assisted autoencoder-embedded evolutionary optimization algorithm to solve high-dimensional expensive problems.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Surrogate-assisted autoencoder-embedded evolutionary optimization algorithm to solve high-dimensional expensive problems

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.278369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:ff33cf0a351991de9f578057eebde773eb9faa8fad7dbe0cb034ebb536ad7709

Observation 3c62a36b-2419-461a-80b6-013036b5c9c3 · outbound

This paper cites Grid classification-based surrogate-assisted particle swarm optimization for expensive multiob- jective optimization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Grid classification-based surrogate-assisted particle swarm optimization for expensive multiob- jective optimization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.282066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:de19c79ade4cd0430d491d5ff3d26c797a5f0b19b1c6194a213f7db8571a4106

Observation 462632b4-ecc7-4486-9afc-f6f1e89a06e2 · outbound

This paper cites Parameter-exploring policy gradients.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Parameter-exploring policy gradients

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.295582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:e6dc1d0379dfface762453628af5317382f3a15d4ce4428b64d5af61afedbafd

Observation 2275dbcb-385c-4c9e-9194-732106b97aaa · outbound

This paper cites Runtime analysis of evolutionary diversity maximization for oneminmax.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Runtime analysis of evolutionary diversity maximization for oneminmax

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.235621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:f1e1bd412b471a2c9c3a771e760a6ff3e0b95c21f53efd8dbb01209a4f22d6e0

Observation 55d33290-5da3-451d-be49-cf0b30403497 · outbound

This paper cites On the performance of multiple-objective genetic local search on the 0/1 knapsack problem - a comparative experiment.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization On the performance of multiple-objective genetic local search on the 0/1 knapsack problem - a comparative experiment

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.257063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:832cac473f1ff1b0400b648a9b69b9b4b25bbfaaf9d22d8c9b0f57d5c3847ee0

Observation 3878ec75-a980-4d11-aa88-9bf1c37357d4 · outbound

This paper cites Contamination control in food supply chain.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Contamination control in food supply chain

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.229756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:a71471160a1d7decc5089303d028c35883fe2cbac2072f5eb5cca7d88049db59

Observation 01e738ad-aafc-4e33-95b0-9c867dde16ed · outbound

This paper cites Combinatorial bayesian optimization using the graph cartesian product.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Combinatorial bayesian optimization using the graph cartesian product

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.270651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:3686590f99c59f891f2b7d7ce600617de9eec14fb62f3460e00b7581f6c2e7e9

Observation c3a20916-8c0f-45b5-834d-ed24cc1ab686 · outbound

This paper cites From competition to complementarity: Comparative influence diffusion and maximization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization From competition to complementarity: Comparative influence diffusion and maximization

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.315910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:060ba586fdaee182d57c3754eb003907716e2d0680a553bd9faddd92aae0a2f0

Pith citing papers

No inbound Pith citation observations are available.