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Paper Citation Record · LEDGER

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model

As of 14 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2509.11016.

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

pith.paper-citation-record.v1
2509.11016 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:20:14.965115Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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Outbound references

Observation 4261e13b-6475-4f78-bb36-18820372d467 · outbound

This paper cites Engineering design: a sys- tematic approach,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Engineering design: a sys- tematic approach,

Reference 1

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Observation 7fb34a87-3282-459b-ad54-907eef20bb22 · outbound

This paper cites A knowledge- guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A knowledge- guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem,

Reference 2

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Observation 378b913e-3492-440f-a907-80818e881080 · outbound

This paper cites Path planning techniques for mobile robots: Review and prospect,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Path planning techniques for mobile robots: Review and prospect,

Reference 3

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Observation 0c0c4542-9e9e-4432-8183-8d68cdbdbad8 · outbound

This paper cites Review of ship arrangement design using optimization methods,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Review of ship arrangement design using optimization methods,

Reference 4

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Observation 8f4d44f3-57f3-4858-8130-72eb653e86e0 · outbound

This paper cites A brief review of portfolio optimization techniques,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A brief review of portfolio optimization techniques,

Reference 5

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Observation 5df58aa4-9d0d-4f65-8187-9c81e28f6873 · outbound

This paper cites An adaptive scheduling system with genetic algorithms for arranging employee training programs,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model An adaptive scheduling system with genetic algorithms for arranging employee training programs,

Reference 6

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Observation 3d535312-f038-43e8-94db-7ac03a5db71f · outbound

This paper cites Constraint-handling techniques used with evolutionary algorithms,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Constraint-handling techniques used with evolutionary algorithms,

Reference 7

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Observation 3f1935d4-498d-44a1-8cef-ad7efabdb029 · outbound

This paper cites A review on constraint handling techniques for population- based algorithms: from single-objective to multi-objective opti- mization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A review on constraint handling techniques for population- based algorithms: from single-objective to multi-objective opti- mization,

Reference 8

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Observation 6e25bf67-3704-429b-8cad-93ddb61d94ae · outbound

This paper cites A survey on evolutionary constrained multiobjective optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A survey on evolutionary constrained multiobjective optimization,

Reference 9

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Observation 62045cd5-4253-45f1-801d-dcfc377b89aa · outbound

This paper cites Two-archive evolutionary algorithm for constrained multiobjective optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Two-archive evolutionary algorithm for constrained multiobjective optimization,

Reference 10

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Observation c9746ffa-10dd-481c-8df5-72bb25cfcb5a · outbound

This paper cites A novel differential evolution algorithm for solving constrained engineering optimization problems,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A novel differential evolution algorithm for solving constrained engineering optimization problems,

Reference 11

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Observation a784d620-5066-4db1-bc36-91ce76c4ca9b · outbound

This paper cites A constrained multiobjective evolutionary algorithm with detect-and-escape strategy,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A constrained multiobjective evolutionary algorithm with detect-and-escape strategy,

Reference 12

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Observation 7186db47-f896-40ef-848a-28e6f85c19bc · outbound

This paper cites A random forest-assisted evolutionary algorithm for data-driven constrained multiobjective combina- torial optimization of trauma systems,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A random forest-assisted evolutionary algorithm for data-driven constrained multiobjective combina- torial optimization of trauma systems,

Reference 13

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Observation b06eb004-8d2b-47d0-bda4-d5e5edbb9a1b · outbound

This paper cites A dual-population-based evolutionary algorithm for constrained multiobjective optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A dual-population-based evolutionary algorithm for constrained multiobjective optimization,

Reference 14

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Observation af3b10ed-d34d-400b-9284-304bc985e405 · outbound

This paper cites Constrained multi- objective optimization with deep reinforcement learning assisted operator selection,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Constrained multi- objective optimization with deep reinforcement learning assisted operator selection,

Reference 15

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Observation 7553421a-dd87-464c-b994-67beba1d7011 · outbound

This paper cites Ensemble strate- gies for population-based optimization algorithms–a survey,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Ensemble strate- gies for population-based optimization algorithms–a survey,

Reference 16

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Observation 839d1bdd-6b5e-4d03-8296-e8ddc1059ee4 · outbound

This paper cites Adaboost-inspired multi-operator ensemble strategy for multi-objective evolution- ary algorithms,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Adaboost-inspired multi-operator ensemble strategy for multi-objective evolution- ary algorithms,

Reference 17

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Observation 19298425-e6c1-41ac-b5b1-322fe7cf22fd · outbound

This paper cites Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time,

Reference 18

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Observation 520289ff-5fa4-4143-bb57-63e10aadaaaa · outbound

This paper cites A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classifica- tion,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classifica- tion,

Reference 19

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Observation a4287e86-aaaa-49a9-b6c2-fbe2d70c8e0f · outbound

This paper cites An adap- tive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model An adap- tive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation,

Reference 20

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Observation 89e6f516-66d9-4f33-993f-c6c42cdb11bd · outbound

This paper cites Deep reinforcement learning based adaptive operator selection for evolutionary multi-objective optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Deep reinforcement learning based adaptive operator selection for evolutionary multi-objective optimization,

Reference 21

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Observation 43f84593-3c10-4704-9f05-f83f4d07934e · outbound

This paper cites Deep reinforcement learning-guided coevolutionary algorithm for constrained mul- tiobjective optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Deep reinforcement learning-guided coevolutionary algorithm for constrained mul- tiobjective optimization,

Reference 22

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Observation 58770034-d3eb-48e4-8010-be8024ba9bb4 · outbound

This paper cites Deep reinforcement learning: A brief survey,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Deep reinforcement learning: A brief survey,

Reference 23

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Observation 1c2faf47-2f9f-4f3d-993c-cb8c7632682f · outbound

This paper cites Deep reinforcement learning for au- tonomous driving: A survey,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Deep reinforcement learning for au- tonomous driving: A survey,

Reference 24

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This paper cites Bi-phase episodic memory-guided deep reinforcement learning for robot skills,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Bi-phase episodic memory-guided deep reinforcement learning for robot skills,

Reference 25

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Observation 23fec9bd-7c14-42d7-81a9-630f65aa1eee · outbound

This paper cites Applications of deep reinforcement learning in communications and networking: A survey,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Applications of deep reinforcement learning in communications and networking: A survey,

Reference 26

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Observation 693798ee-fb3e-4d66-b687-74b10dd4494f · outbound

This paper cites Reconfigurable intelligent surfaces for wire- less communications: Principles, challenges, and opportunities,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Reconfigurable intelligent surfaces for wire- less communications: Principles, challenges, and opportunities,

Reference 27

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Observation f9cb1181-6bcd-4005-b702-ca5c79da930c · outbound

This paper cites A self-adaptive evolutionary multi-task based con- strained multi-objective evolutionary algorithm,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A self-adaptive evolutionary multi-task based con- strained multi-objective evolutionary algorithm,

Reference 28

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Observation 6998b49e-65c7-4341-86d2-4b746ca39ea5 · outbound

This paper cites A constrained multiobjective evolutionary algorithm based on adaptive con- straint regulation,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A constrained multiobjective evolutionary algorithm based on adaptive con- straint regulation,

Reference 29

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Observation c759ac36-9e9c-41ec-a792-03f5ed99a554 · outbound

This paper cites A dual- population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A dual- population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization,

Reference 30

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Observation 71a72cd9-6a27-465b-8a80-6ccab88d2326 · outbound

This paper cites Aschea: new results using adaptive segregational constraint handling,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Aschea: new results using adaptive segregational constraint handling,

Reference 31

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Observation 1e128947-6bf1-43e5-b559-d6e71a8de735 · outbound

This paper cites Dynamic neighborhood hybrid par- ticle swarm optimization for constrained optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Dynamic neighborhood hybrid par- ticle swarm optimization for constrained optimization,

Reference 32

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Observation a8ad31d7-193d-46a5-b8a0-457eff7393ea · outbound

This paper cites Efficient constrained optimization by the ε constrained adaptive differential evolution,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Efficient constrained optimization by the ε constrained adaptive differential evolution,

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Observation b4f3803a-1515-4ae6-b1a3-846602e257c4 · outbound

This paper cites Deep reinforcement learning for au- tonomous driving: A survey,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Deep reinforcement learning for au- tonomous driving: A survey,

Reference 34

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Observation 85ac2ae3-b866-4cb1-9171-3692b9d2ac6c · outbound

This paper cites Deep reinforcement learning control for radar detection and tracking in congested spectral environ- ments,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Deep reinforcement learning control for radar detection and tracking in congested spectral environ- ments,

Reference 35

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Observation b335b1de-9dfb-4b18-96be-d6948e0de6f3 · outbound

This paper cites Deep reinforcement learning based mobile robot navigation: A review,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Deep reinforcement learning based mobile robot navigation: A review,

Reference 36

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Observation bf78f92e-7ccf-4db8-9bbd-3239bcb5d07d · outbound

This paper cites Adaptive constraint handling technique selection for constrained multi-objective op- timization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Adaptive constraint handling technique selection for constrained multi-objective op- timization,

Reference 37

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Observation 12951e19-374c-415c-a84a-cab61c36ee3f · outbound

This paper cites Principled design of translation, scale, and rotation invariant variation operators for metaheuristics,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Principled design of translation, scale, and rotation invariant variation operators for metaheuristics,

Reference 38

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Observation 3b9c1ef8-ce25-4fee-9261-6fd5cf6fd46e · outbound

This paper cites Problem definitions and evaluation criteria for the cec 2010 competition on constrained real-parameter optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Problem definitions and evaluation criteria for the cec 2010 competition on constrained real-parameter optimization,

Reference 39

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Observation 8b218ac2-c1a7-44e6-ac08-7fd03fac357d · outbound

This paper cites Problem defini- tions and evaluation criteria for the cec 2017 competition on constrained real-parameter optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Problem defini- tions and evaluation criteria for the cec 2017 competition on constrained real-parameter optimization,

Reference 40

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Observation 03c4bfd0-0864-460a-98c3-8cc50ec506c1 · outbound

This paper cites Stochastic ranking for constrained evolutionary optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Stochastic ranking for constrained evolutionary optimization,

Reference 41

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Observation 37e265eb-f97b-481b-981d-a7536fcbbf27 · outbound

This paper cites Building scalable test problems for benchmark- ing constrained optimizers,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Building scalable test problems for benchmark- ing constrained optimizers,

Reference 42

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Observation db7e4127-3d91-45ed-84b6-c9f2cf331799 · outbound

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

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Differential evolution–a simple and effi- cient heuristic for global optimization over continuous spaces,

Reference 43

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Observation 02a7306a-2285-48b5-9f27-161901987872 · outbound

This paper cites Combining multiobjective optimization with differential evolution to solve constrained optimization problems,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Combining multiobjective optimization with differential evolution to solve constrained optimization problems,

Reference 44

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Observation cefc0ec1-39c1-4ccf-aa14-ee31b8d4d177 · outbound

This paper cites Adaptive differential evolution with multi-population-based mutation operators for constrained optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Adaptive differential evolution with multi-population-based mutation operators for constrained optimization,

Reference 45

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Observation d9705c3d-bf78-4ce0-bf2b-f71e3b2cec4c · outbound

This paper cites An enhanced adaptive differential evolution approach for constrained opti- mization problems.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model An enhanced adaptive differential evolution approach for constrained opti- mization problems

Reference 46

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Observation 7dcebc35-fc4f-4ce0-a56a-6e9e8fb0aed4 · outbound

This paper cites Composite dif- ferential evolution for constrained evolutionary optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model Composite dif- ferential evolution for constrained evolutionary optimization,

Reference 47

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Observation 1b568444-5bff-47ff-b72b-6e40fc6d9cc6 · outbound

This paper cites A multiobjective optimization-based evolutionary algorithm for constrained optimization,.

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model A multiobjective optimization-based evolutionary algorithm for constrained optimization,

Reference 48

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