Multi-Objective Covariance Matrix Adaptation MAP-Annealing | Paper Citation Record

Observation c6e06581-cfa6-411d-8a86-acce35dd77b2 · outbound

This paper cites Hype: An algorithm for fast hypervolume- based many-objective optimization.Evolutionary computation, 19(1):45–76, 2011.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Hype: An algorithm for fast hypervolume- based many-objective optimization.Evolutionary computation, 19(1):45–76, 2011

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:38.660850Z

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Observation 41211386-c2b8-45cf-89c0-3064f6f3bde8 · outbound

This paper cites Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:54:32.285974Z

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Observation d3aac8f0-e3cc-4351-806c-ba602f47427c · outbound

This paper cites Set-based multi- objective optimization, indicators, and deteriorative cycles.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Set-based multi- objective optimization, indicators, and deteriorative cycles

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:38.498244Z

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Observation a9e6363c-0187-4e61-be33-c2148088c8df · outbound

This paper cites Sms-emoa: Multiobjective selection based on dominated hypervolume.European Journal of Operational Research, 181(3):1653–1669, 2007.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Sms-emoa: Multiobjective selection based on dominated hypervolume.European Journal of Operational Research, 181(3):1653–1669, 2007

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:38.378556Z

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Observation c5152bf3-237d-40cf-b835-d2f61a8b5e83 · outbound

This paper cites Deep surrogate assisted generation of environments.Advances in Neural Information Processing Systems, 35:37762–37777, 2022.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Deep surrogate assisted generation of environments.Advances in Neural Information Processing Systems, 35:37762–37777, 2022

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:38.227955Z

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Observation a67b95ae-4eb7-48bf-8235-b66100b1abe0 · outbound

This paper cites Blank and K.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Blank and K

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:27.792310Z

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Observation a9313ac7-087f-43f0-9a5b-6149451857be · outbound

This paper cites Two-dimensional subset selection for hypervolume and epsilon-indicator.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Two-dimensional subset selection for hypervolume and epsilon-indicator

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:38.074797Z

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Observation fb86b8e0-39ee-4f85-b2b5-66bd47c7777c · outbound

This paper cites On the utility of learning about humans for human-ai coordi- nation.Advances in neural information processing systems, 32, 2019.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing On the utility of learning about humans for human-ai coordi- nation.Advances in neural information processing systems, 32, 2019

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:37.934304Z

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Observation 4a2f0b7b-7a80-43ab-bce9-7e80270b87be · outbound

This paper cites Qdax: A library for quality-diversity and population-based algorithms with hardware acceleration, 2023.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Qdax: A library for quality-diversity and population-based algorithms with hardware acceleration, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:37.792446Z

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Observation 91133e50-6004-4680-a6c4-1ddd6b94c623 · outbound

This paper cites Quality and diversity optimization: A unify- ing modular framework.IEEE Transactions on Evolutionary Computation, 22(2): 245–259, 2017.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Quality and diversity optimization: A unify- ing modular framework.IEEE Transactions on Evolutionary Computation, 22(2): 245–259, 2017

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:37.664399Z

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Observation 5cfae66c-4fe0-4643-8aca-0da5dee93a88 · outbound

This paper cites Robots that can adapt like animals.Nature, 521(7553):503–507, 2015.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Robots that can adapt like animals.Nature, 521(7553):503–507, 2015

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:37.524038Z

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Observation ef2ae55d-4a9d-4830-9afe-86b97eafe82e · outbound

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

Multi-Objective Covariance Matrix Adaptation MAP-Annealing A fast and elitist multiobjective genetic algorithm: Nsga-ii.IEEE transactions on evolutionary computation, 6(2):182–197, 2002

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:28.404802Z

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Observation 66ba24db-3730-4b36-a332-e15d3e9ce00b · outbound

This paper cites A ranking method based on the r2 indicator for many- objective optimization.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing A ranking method based on the r2 indicator for many- objective optimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:37.404499Z

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Observation e9219e08-90bc-48e2-9e25-844ea408bece · outbound

This paper cites Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:28.739488Z

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Observation 52723fd1-f925-42c7-b659-20b1a18d9d75 · outbound

This paper cites Covariance matrix adaptation map- annealing.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Covariance matrix adaptation map- annealing

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:37.243400Z

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Observation e9afa48f-26b1-47bc-b744-ce9e7ad491e6 · outbound

This paper cites Evaluating human–robot interac- tion algorithms in shared autonomy via quality diversity scenario generation.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Evaluating human–robot interac- tion algorithms in shared autonomy via quality diversity scenario generation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:37.077536Z

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Observation 1f71e027-a799-4b4f-b1ef-03cd1bcb55db · outbound

This paper cites Covariance matrix adaptation for the rapid illumination of behavior space.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Covariance matrix adaptation for the rapid illumination of behavior space

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:36.936696Z

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Observation 8e9bbb0c-c47b-4665-8fb1-58e31e615a5c · outbound

This paper cites On the Importance of Environments in Human-Robot Coordination.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing On the Importance of Environments in Human-Robot Coordination

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:54:32.149251Z

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Observation 9df4749a-e27c-447a-adf9-814f2ea6742e · outbound

This paper cites Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:29.336012Z

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Observation cd3f3c18-04d3-48a2-b4de-07cbcb033330 · outbound

This paper cites Preference-learning emit- ters for mixed-initiative quality-diversity algorithms.IEEE Transactions on Games, 2023.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Preference-learning emit- ters for mixed-initiative quality-diversity algorithms.IEEE Transactions on Games, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:36.790241Z

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Observation d2aeacd4-1f9c-4660-8093-dc8a02c86620 · outbound

This paper cites Overcooked, 2016.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Overcooked, 2016

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:36.636382Z

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Observation 4a3ab351-1e6d-4489-9491-f272b87e191a · outbound

This paper cites Generative adversarial nets.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Generative adversarial nets

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:29.582815Z

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Observation 6a2d5035-bb69-430e-aa63-f143e70d8a07 · outbound

This paper cites Unsupervised behavior discovery with quality- diversity optimization.IEEE Transactions on Evolutionary Computation, 26(6): 1539–1552, 2022.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Unsupervised behavior discovery with quality- diversity optimization.IEEE Transactions on Evolutionary Computation, 26(6): 1539–1552, 2022

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:36.463197Z

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Observation 9bc06c90-a854-49de-83b6-6ecde697c3a8 · outbound

This paper cites The CMA Evolution Strategy: A Tutorial.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing The CMA Evolution Strategy: A Tutorial

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:29.723690Z

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Observation 7aaf4be0-67f0-42f1-a83b-d2e04ce9c760 · outbound

This paper cites Moarchiving.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Moarchiving

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:36.263170Z

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Observation 069ac7c1-ab3b-4eee-a1ac-3c1a643376d8 · outbound

This paper cites Coco: A platform for comparing continuous optimizers in a black-box setting.Optimization Methods and Software, 36(1):114–144, 2021.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Coco: A platform for comparing continuous optimizers in a black-box setting.Optimization Methods and Software, 36(1):114–144, 2021

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:29.880617Z

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Observation 0b62fec7-a99c-4e3c-9382-fc62aadd72bd · outbound

This paper cites Covariance matrix adaptation for multi-objective optimization.Evolutionary computation, 15(1):1–28, 2007.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Covariance matrix adaptation for multi-objective optimization.Evolutionary computation, 15(1):1–28, 2007

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:36.077127Z

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Observation d71d55ab-db42-485c-8c78-65794d9a4cfe · outbound

This paper cites Modified distance calculation in generational distance and inverted generational distance.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Modified distance calculation in generational distance and inverted generational distance

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:35.874731Z

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Observation 71943cfe-85f6-460e-b1ca-f551db21c6fb · outbound

This paper cites Improving the data efficiency of multi-objective quality-diversity through gradient assistance and crowding exploration.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Improving the data efficiency of multi-objective quality-diversity through gradient assistance and crowding exploration

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:35.703577Z

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Observation 82eb1129-2157-45b3-9bb8-e4d9bbb51b03 · outbound

This paper cites A simple and fast hypervolume indicator-based multiobjective evolutionary algorithm.IEEE Transactions on Cybernetics, 45(10):2202–2213, 2014.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing A simple and fast hypervolume indicator-based multiobjective evolutionary algorithm.IEEE Transactions on Cybernetics, 45(10):2202–2213, 2014

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:35.512957Z

Source-reported events for the cited work

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Observation 289732b3-4cfc-41b8-a9a9-357ac04aafc5 · outbound

This paper cites Learning policies for partially observable environments: Scaling up.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Learning policies for partially observable environments: Scaling up

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:35.341002Z

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Observation 1f3e4cd4-5088-4113-bda0-60257f39e8b1 · outbound

This paper cites Gd-moea: A new multi- objective evolutionary algorithm based on the generational distance indicator.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Gd-moea: A new multi- objective evolutionary algorithm based on the generational distance indicator

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:35.195943Z

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Observation 0a2af945-fa34-4c14-b62f-87c6c6cd161b · outbound

This paper cites Illuminating search spaces by mapping elites.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Illuminating search spaces by mapping elites

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:30.416956Z

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Observation a1f26f64-3313-4b53-806a-861f52b4b2d9 · outbound

This paper cites Policy gradient assisted map-elites.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Policy gradient assisted map-elites

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:35.037885Z

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Observation 81984449-c5b3-4ec7-abe5-d79aea1fada2 · outbound

This paper cites Multi- objective quality diversity optimization.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Multi- objective quality diversity optimization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:34.846492Z

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Observation 903c08ca-a612-4c34-a7fc-3b5656852555 · outbound

This paper cites On the evolutionary optimization of many conflicting objectives.IEEE transactions on evolutionary computation, 11(6): 770–784, 2007.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing On the evolutionary optimization of many conflicting objectives.IEEE transactions on evolutionary computation, 11(6): 770–784, 2007

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:34.697034Z

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Observation fbae7196-907d-4383-91dc-2f16f9697224 · outbound

This paper cites A survey on the hyper- volume indicator in evolutionary multiobjective optimization.IEEE Transactions on Evolutionary Computation, 25(1):1–20, 2020.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing A survey on the hyper- volume indicator in evolutionary multiobjective optimization.IEEE Transactions on Evolutionary Computation, 25(1):1–20, 2020

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:34.502321Z

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Observation a9f65421-20c8-41a4-848d-1f0fa01fa4f0 · outbound

This paper cites Hv-net: Hypervolume approximation based on deepsets.IEEE Transactions on Evolutionary Computation, 27(4):1154–1160, 2022.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Hv-net: Hypervolume approximation based on deepsets.IEEE Transactions on Evolutionary Computation, 27(4):1154–1160, 2022

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:34.320899Z

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Observation d61067b9-92b0-462b-bd46-013e6357a2a3 · outbound

This paper cites An indicator- based multiobjective evolutionary algorithm with reference point adaptation for better versatility.IEEE Transactions on Evolutionary Computation, 22(4):609–622, 2017.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing An indicator- based multiobjective evolutionary algorithm with reference point adaptation for better versatility.IEEE Transactions on Evolutionary Computation, 22(4):609–622, 2017

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:34.067875Z

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Observation cce1f2c0-0803-4de7-9855-adc89a12f2ab · outbound

This paper cites Approximating gradients for differentiable quality diversity in reinforcement learning.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Approximating gradients for differentiable quality diversity in reinforcement learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:33.900882Z

Source-reported events for the cited work

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Observation e8b4a7ae-1739-441f-b375-d8775268a696 · outbound

This paper cites pyribs: A bare-bones python library for quality diversity optimiza- tion.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing pyribs: A bare-bones python library for quality diversity optimiza- tion

Reference 41

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Observation 29015dbc-1beb-4ea9-a910-316e39d3dade · outbound

This paper cites Uncrowded hypervolume improvement: Como-cma-es and the sofomore framework.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Uncrowded hypervolume improvement: Como-cma-es and the sofomore framework

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:33.693551Z

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Observation f141e64a-2705-4cce-9d3b-53afe71af44d · outbound

This paper cites R2-emoa: Focused mul- tiobjective search using r2-indicator-based selection.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing R2-emoa: Focused mul- tiobjective search using r2-indicator-based selection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:33.518199Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0c026459-f255-415b-b37c-15fcdd8a18cd · outbound

This paper cites Discovering the elite hypervol- ume by leveraging interspecies correlation.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Discovering the elite hypervol- ume by leveraging interspecies correlation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:33.298536Z

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Observation 3b190d96-13e7-41b3-9917-06b501668505 · outbound

This paper cites Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:31.440198Z

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Observation 6005da1a-5331-44c2-a980-e17a3328c0b9 · outbound

This paper cites Recombination for learning strategy parameters in the mo-cma-es.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Recombination for learning strategy parameters in the mo-cma-es

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:33.145544Z

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Observation c3f87171-2c17-43bf-842e-c676c9028d30 · outbound

This paper cites Improved step size adaptation for the mo-cma-es.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Improved step size adaptation for the mo-cma-es

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:32.952983Z

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Observation 022d3961-1ef5-4924-a90e-4995e6ccc409 · outbound

This paper cites Covariance matrix adaptation map-annealing: Theory and experiments.ACM Transactions on Evolutionary Learning, 2024.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Covariance matrix adaptation map-annealing: Theory and experiments.ACM Transactions on Evolutionary Learning, 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:32.813163Z

Source-reported events for the cited work

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Observation ffb25c71-b8ac-4c64-9f1f-d3b061015c15 · outbound

This paper cites Indicator-based selection in multiobjective search.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing Indicator-based selection in multiobjective search

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:54:32.612872Z

Source-reported events for the cited work

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Observation 61f630b6-f7e0-4c38-9b1d-816786372212 · outbound

This paper cites skip over.

Multi-Objective Covariance Matrix Adaptation MAP-Annealing skip over

Reference 50

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:54:32.451484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers