Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization | Paper Citation Record

Observation c835fee9-e881-469a-8711-d40894064701 · outbound

This paper cites Differential evolution with mixed mutation strategy based on deep reinforcement learning,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Differential evolution with mixed mutation strategy based on deep reinforcement learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.708253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2fb2624d-ceea-44cf-adc4-6273be14a58b · outbound

This paper cites No free lunch theorems for optimization,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization No free lunch theorems for optimization,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.690914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4d0f3397-6330-4c9d-a637-08f4a5ab619c · outbound

This paper cites A self-adapting algorithm for many-objective optimization,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization A self-adapting algorithm for many-objective optimization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.675099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24069602-5ddc-4a4a-af98-884ffde3972f · outbound

This paper cites An adaptive switching-based evolutionary algorithm for many-objective op- timization,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization An adaptive switching-based evolutionary algorithm for many-objective op- timization,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.658830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f310d35-5302-4138-a259-08c57d72886c · outbound

This paper cites Ensemble strategies for population-based optimization algorithms-a survey,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Ensemble strategies for population-based optimization algorithms-a survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.642751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0a15cc0-f395-4cce-bae0-c2bfa7de6547 · outbound

This paper cites Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.625602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 36dd4f3b-117c-4d34-abe0-09a156abdc9a · outbound

This paper cites Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.609327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bd6ee121-ce84-4ae7-ab8b-b39b6ba212b8 · outbound

This paper cites Reinforcement learning- based differential evolution for global optimization,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Reinforcement learning- based differential evolution for global optimization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.592705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0740f783-7f79-4550-99c5-4b69085dd7c3 · outbound

This paper cites Scheduling of continuous an- nealing with a multi-objective differential evolution algorithm based on deep reinforcement learning,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Scheduling of continuous an- nealing with a multi-objective differential evolution algorithm based on deep reinforcement learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.576825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50375cd2-3bdb-4337-988c-918ecc139802 · outbound

This paper cites Improving the search perfor- mance of shade using linear population size reduction,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Improving the search perfor- mance of shade using linear population size reduction,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.560355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e67e0df-5166-4490-a449-d6b60c02a97c · outbound

This paper cites il-shade: Improved l-shade algorithm for single objective real-parameter optimiza- tion,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization il-shade: Improved l-shade algorithm for single objective real-parameter optimiza- tion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.544225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7137e2a9-9155-48bb-8a5a-302bb3671812 · outbound

This paper cites Single objective real-parameter optimization: Algorithm jso,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Single objective real-parameter optimization: Algorithm jso,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.526003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 602fc8f0-9a40-4d03-a1a0-2e0afa10e876 · outbound

This paper cites Q-learning-based parameter control in differential evolution for structural optimization,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Q-learning-based parameter control in differential evolution for structural optimization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.508170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1555bdf0-d671-4332-ab8a-f411109818cd · outbound

This paper cites Rein- forcement learning-based hybrid differential evolution for global optimization of interplanetary trajectory design,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Rein- forcement learning-based hybrid differential evolution for global optimization of interplanetary trajectory design,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.491391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1295b40e-3a99-45d7-b4fa-eb20652469c1 · outbound

This paper cites Learning adaptive differen- tial evolution algorithm from optimization experiences by policy gradient,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Learning adaptive differen- tial evolution algorithm from optimization experiences by policy gradient,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.474611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9d457d0-2866-4d71-a8ac-f3c4fdfce8bf · outbound

This paper cites Variational reinforcement learning for hyper-parameter tuning of adaptive evolutionary algorithm,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Variational reinforcement learning for hyper-parameter tuning of adaptive evolutionary algorithm,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.457742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f2c4a080-bd44-4e45-ae32-ff1da76abeb6 · outbound

This paper cites Learning to learn evolutionary algorithm: A learnable differential evolution,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Learning to learn evolutionary algorithm: A learnable differential evolution,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.441118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d74fddb7-adf6-4cd7-9451-2d8e64def0f9 · outbound

This paper cites Reinforcement learning-based multiobjective evolutionary algorithm for mixed- model multimanned assembly line balancing under uncertain demand,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Reinforcement learning-based multiobjective evolutionary algorithm for mixed- model multimanned assembly line balancing under uncertain demand,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.424233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9239514f-e27c-4230-8335-e617382695e8 · outbound

This paper cites Meta- learning in neural networks: A survey,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Meta- learning in neural networks: A survey,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.407520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2aab162e-0461-4936-8245-9b35c4f5bd19 · outbound

This paper cites Human-level control through deep rein- forcement learning,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Human-level control through deep rein- forcement learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.391322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 717fa804-3bd2-4323-9444-c4f7ca443d2b · outbound

This paper cites Hyper-heuristics: A survey of the state of the art,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Hyper-heuristics: A survey of the state of the art,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.374831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 004f7b0b-1897-407f-8cf5-ef29f5108dbf · outbound

This paper cites Evolutionary self-adaptation: a survey of operators and strategy parameters,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Evolutionary self-adaptation: a survey of operators and strategy parameters,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.356480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41f4f338-0e35-4e07-8184-4a07b2326953 · outbound

This paper cites Self-adaptive systems: A survey of current approaches, research challenges and applications,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Self-adaptive systems: A survey of current approaches, research challenges and applications,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.339075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dcbb4368-9c40-4623-9baf-f8e75662656c · outbound

This paper cites Differential evolution–a simple and effi- cient heuristic for global optimization over continuous spaces,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Differential evolution–a simple and effi- cient heuristic for global optimization over continuous spaces,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.321920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b8b4b22f-89be-4fc8-a4d8-13fabbaffffb · outbound

This paper cites Back, Evolutionary algorithms in theory and practice: evolu- tion strategies, evolutionary programming, genetic algorithms.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Back, Evolutionary algorithms in theory and practice: evolu- tion strategies, evolutionary programming, genetic algorithms

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.303506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3ccaef70-4b26-4907-a02d-52e3ea040fc8 · outbound

This paper cites Self-adaptive differential evolution algo- rithm with zoning evolution of control parameters and adaptive mutation strategies,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Self-adaptive differential evolution algo- rithm with zoning evolution of control parameters and adaptive mutation strategies,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.286667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e976920-6dcb-4f71-92cb-370969c3da0b · outbound

This paper cites Reinforcement learning: An introduction,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Reinforcement learning: An introduction,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:04.440643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a7dcea7-8e5c-47b8-a359-b025c9f6f80b · outbound

This paper cites Q-learning: Theory and applications,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Q-learning: Theory and applications,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:04.445227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e4e019-92e1-4c67-ab94-e1ef82ab221c · outbound

This paper cites an unresolved cited work.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:46:05.248984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0b94dd3-a6a8-48ca-bccf-30441d832f6e · outbound

This paper cites Pol- icy gradient methods for reinforcement learning with function approximation,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Pol- icy gradient methods for reinforcement learning with function approximation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.233740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 368c796d-9f49-4c11-97e8-093fdc4ee47e · outbound

This paper cites A sur- vey of actor-critic reinforcement learning: Standard and natural policy gradients,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization A sur- vey of actor-critic reinforcement learning: Standard and natural policy gradients,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.218002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae17c974-ca7c-4269-9270-3b339f5277f2 · outbound

This paper cites Reinforced model predictive control (rl-mpc) for building energy manage- ment,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Reinforced model predictive control (rl-mpc) for building energy manage- ment,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.202065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca05cf4f-20f0-451b-8b15-695148b31e2b · outbound

This paper cites Safe reinforcement learning for autonomous vehicle using monte carlo tree search,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Safe reinforcement learning for autonomous vehicle using monte carlo tree search,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.186008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 20cc3fb4-f4e1-4377-acd5-69e0b88b0a0f · outbound

This paper cites Reinforce- ment learning-assisted evolutionary algorithm: A survey and research opportunities,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Reinforce- ment learning-assisted evolutionary algorithm: A survey and research opportunities,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.168820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dd3fc759-d95e-4066-9260-948080170a93 · outbound

This paper cites Bridging evolutionary algorithms and reinforcement learning: A compre- hensive survey on hybrid algorithms,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Bridging evolutionary algorithms and reinforcement learning: A compre- hensive survey on hybrid algorithms,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.151898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f97cdaa-5039-4e57-8b13-fa66300c94ca · outbound

This paper cites Deep reinforcement learning based parameter control in differ- ential evolution,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Deep reinforcement learning based parameter control in differ- ential evolution,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.134801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ce9248a-6487-4229-ad7f-a0fae623671e · outbound

This paper cites Controlling sequential hybrid evolutionary algorithm by q-learning [research frontier][research frontier],.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Controlling sequential hybrid evolutionary algorithm by q-learning [research frontier][research frontier],

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.118648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9ab7a5b-c835-4048-a6b1-627830c40ce9 · outbound

This paper cites Reinforcement learning-based differential evolution for parameters extraction of photovoltaic models,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Reinforcement learning-based differential evolution for parameters extraction of photovoltaic models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.102717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 642cd18f-1fe6-408e-88b3-14e9181c1eea · outbound

This paper cites Understanding the problem space in single-objective numerical optimization us- ing exploratory landscape analysis,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Understanding the problem space in single-objective numerical optimization us- ing exploratory landscape analysis,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.086528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6631b981-e964-4305-8273-1f985dbe0b5f · outbound

This paper cites flaccogui: Exploratory landscape analysis for everyone,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization flaccogui: Exploratory landscape analysis for everyone,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.069898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 239d0500-3308-4110-9444-35298a56db62 · outbound

This paper cites Towards explain- able exploratory landscape analysis: extreme feature selection for classifying bbob functions,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Towards explain- able exploratory landscape analysis: extreme feature selection for classifying bbob functions,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.052994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3ab8d61f-c4e0-467a-bf18-197a24e70d9e · outbound

This paper cites Au- tomated algorithm selection: Survey and perspectives,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Au- tomated algorithm selection: Survey and perspectives,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.036602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c89e71c3-4cbf-4aa8-a81b-ca4774579c38 · outbound

This paper cites Exploratory landscape anal- ysis for mixed-variable problems,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Exploratory landscape anal- ysis for mixed-variable problems,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.019751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d4f95a19-2e0d-444e-baea-143188dfd8d2 · outbound

This paper cites New features for continuous exploratory landscape anal- ysis based on the soo tree,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization New features for continuous exploratory landscape anal- ysis based on the soo tree,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:05.000984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 18445c04-4533-4ab4-bdfe-23f14e2d33bf · outbound

This paper cites Cell mapping techniques for exploratory landscape analysis,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Cell mapping techniques for exploratory landscape analysis,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.983526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43e79da1-147e-4adb-aa6c-c84f8ff7107e · outbound

This paper cites Exploratory landscape analysis of continuous space optimization problems using information content,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Exploratory landscape analysis of continuous space optimization problems using information content,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.966791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 626b5571-76d7-4057-96bb-7fd9938a8d1a · outbound

This paper cites Pflacco: Feature-based landscape analysis of continuous and constrained optimization problems in python,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Pflacco: Feature-based landscape analysis of continuous and constrained optimization problems in python,

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T16:46:04.949439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8c61ab49-de63-4598-9a54-29c152841383 · outbound

This paper cites Expressiveness and robustness of landscape features,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Expressiveness and robustness of landscape features,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.932562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e4c9914-96fc-4e37-a65a-664112dea9bb · outbound

This paper cites De- tecting funnel structures by means of exploratory landscape analysis,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization De- tecting funnel structures by means of exploratory landscape analysis,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.913840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b57c6775-6f24-4f9d-bd5a-e3ff5e095078 · outbound

This paper cites The dispersion metric and the cma evolution strategy,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization The dispersion metric and the cma evolution strategy,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.895476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b967ba2-1f50-4c6d-8b37-0c90827d38ac · outbound

This paper cites Exploratory land- scape analysis is strongly sensitive to the sampling strategy,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Exploratory land- scape analysis is strongly sensitive to the sampling strategy,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.876949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 64dcb94a-4bb2-4a10-b0e0-e62c45aa499e · outbound

This paper cites Low- budget exploratory landscape analysis on multiple peaks mod- els,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Low- budget exploratory landscape analysis on multiple peaks mod- els,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.860639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5421df35-6232-4b82-ae80-cac897481942 · outbound

This paper cites Differential evolution for economic load dispatch problems,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Differential evolution for economic load dispatch problems,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.843304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3214b4a4-8d18-4e76-8c38-b4b86726899d · outbound

This paper cites Review of differential evolution population size,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Review of differential evolution population size,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.825944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5552e4c4-ddd8-4f9e-b90f-f7b300eaf4c9 · outbound

This paper cites An efficient constraint handling method for genetic algorithms,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization An efficient constraint handling method for genetic algorithms,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.809017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f00f57ef-508e-4015-b4d8-1a80dbc670ef · outbound

This paper cites Array programming with NumPy,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Array programming with NumPy,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:04.577818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175e6c96-d92b-407a-9167-9f96a36ef96f · outbound

This paper cites Introduction to multi-armed bandits,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Introduction to multi-armed bandits,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.791503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b77c3ed-c026-4573-932d-90205357d69e · outbound

This paper cites Learning to utilize shaping rewards: A new approach of reward shaping,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Learning to utilize shaping rewards: A new approach of reward shaping,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.775094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 22d9f2cd-7f0f-4d04-a05f-d064e50f9ab9 · outbound

This paper cites Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.757579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 928e4cb2-f76e-4823-8522-7cd93882a0d2 · outbound

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

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Metabox: a benchmark platform for meta-black-box optimization with reinforcement learning,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.739397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfbf732e-7f59-4f14-9e03-c7819ca3a406 · outbound

This paper cites Differential evolution with hybrid parameters and mutation strategies based on reinforcement learning,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Differential evolution with hybrid parameters and mutation strategies based on reinforcement learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.721453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b30605b2-30bf-47d7-a500-a38626c40f58 · outbound

This paper cites Self-adaptive differen- tial evolution algorithm with population size reduction for single objective bound-constrained optimization: Algorithm j21,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Self-adaptive differen- tial evolution algorithm with population size reduction for single objective bound-constrained optimization: Algorithm j21,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.705228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fefc24f1-0b7c-410d-ab5c-dc3cf08a4445 · outbound

This paper cites Improving differential evolution through bayesian hyperpa- rameter optimization,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Improving differential evolution through bayesian hyperpa- rameter optimization,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.689235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 097d0c47-5176-48a2-a0a9-afda40d78e83 · outbound

This paper cites Nl-shade-lbc algorithm with linear parameter adaptation bias change for cec 2022 numerical optimization,.

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Nl-shade-lbc algorithm with linear parameter adaptation bias change for cec 2022 numerical optimization,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:04.672751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers