Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization | Paper Citation Record

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Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Unresolved cited work

Reference 1

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This paper cites Learning what to defer for maximum in- dependent sets.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Learning what to defer for maximum in- dependent sets

Reference 2

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Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Unresolved cited work

Reference 3

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This paper cites Princeton university press, 2006.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Princeton university press, 2006

Reference 4

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Observation 0945ebad-4b76-4480-a4dc-02f10b570a97 · outbound

This paper cites The prize collecting traveling salesman problem.Networks, 19(6):621–636, 1989.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization The prize collecting traveling salesman problem.Networks, 19(6):621–636, 1989

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:36.382864Z

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Observation 4a76f63d-23fa-4969-903f-5b6ee5bfc33c · outbound

This paper cites Neural Combinatorial Optimization with Reinforcement Learning.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Neural Combinatorial Optimization with Reinforcement Learning

Reference 6

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This paper cites Routefinder: Towards foundation models for vehicle routing problems.arXiv preprint arXiv:2406.15007, 2024.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Routefinder: Towards foundation models for vehicle routing problems.arXiv preprint arXiv:2406.15007, 2024

Reference 7

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Observation 4307d19d-6b10-49bd-8b0a-86eb1cdb1b3f · outbound

This paper cites Reinforcement Learning Driven Heuristic Optimization.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Reinforcement Learning Driven Heuristic Optimization

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:58:24.436474Z

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This paper cites Learning to perform local rewriting for combinatorial optimization.Advances in neural information processing systems, 32, 2019.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Learning to perform local rewriting for combinatorial optimization.Advances in neural information processing systems, 32, 2019

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:33.793950Z

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Observation de8e6af4-f332-4428-bc42-f37c5eff5cd1 · outbound

This paper cites A method for solving traveling-salesman problems.Operations research, 6 (6):791–812, 1958.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization A method for solving traveling-salesman problems.Operations research, 6 (6):791–812, 1958

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:30.452119Z

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Observation c57b41b6-af72-482e-8fcc-f178869d404f · outbound

This paper cites Learning 2-opt heuristics for the traveling salesman problem via deep reinforcement learning.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Learning 2-opt heuristics for the traveling salesman problem via deep reinforcement learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:30.037146Z

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Observation f7400ad2-3022-4b11-9fbd-a6ee47945788 · outbound

This paper cites Handbook of genetic algorithms.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Handbook of genetic algorithms

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:29.800680Z

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Observation 39c2cc19-d945-409f-8113-171288e1dd85 · outbound

This paper cites University of Michigan, 1975.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization University of Michigan, 1975

Reference 13

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Observation f2402424-edf7-42ba-9178-0f0d24dace0d · outbound

This paper cites Design paradigms of intelligent control systems on a chip.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Design paradigms of intelligent control systems on a chip

Reference 14

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Observation 233cc5ee-f904-448f-8ed8-810e046d418f · outbound

This paper cites Designing an Optimal Portfolio for Iran's Stock Market with Genetic Algorithm using Neural Network Prediction of Risk and Return Stocks.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Designing an Optimal Portfolio for Iran's Stock Market with Genetic Algorithm using Neural Network Prediction of Risk and Return Stocks

Reference 15

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Observation dcc16989-1614-43c4-98b1-0b8abef11f6e · outbound

This paper cites Alleleslociand the traveling salesman problem.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Alleleslociand the traveling salesman problem

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:29.557012Z

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Observation 773f1c37-fb51-4da9-a369-27b45a224cc6 · outbound

This paper cites The orienteering problem.Naval Research Logistics (NRL), 34(3):307–318, 1987.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization The orienteering problem.Naval Research Logistics (NRL), 34(3):307–318, 1987

Reference 17

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This paper cites Accelerating vehicle routing via ai-initialized genetic algorithms.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Accelerating vehicle routing via ai-initialized genetic algorithms

Reference 18

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This paper cites Winner takes it all: Training performant rl populations for combinatorial optimization.Advances in Neural Information Processing Systems, 36:48485–48509, 2023.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Winner takes it all: Training performant rl populations for combinatorial optimization.Advances in Neural Information Processing Systems, 36:48485–48509, 2023

Reference 19

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Observation 27c3bbca-e931-45cd-a01c-d6f3940c7db5 · outbound

This paper cites An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems.Roskilde: Roskilde University, 12:966–980, 2017.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems.Roskilde: Roskilde University, 12:966–980, 2017

Reference 20

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Observation 1fbe2f60-5c4f-4189-9126-a367a9934733 · outbound

This paper cites Efficient Active Search for Combinatorial Optimization Problems.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Efficient Active Search for Combinatorial Optimization Problems

Reference 21

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Observation c1fa7188-bfd5-453c-a8a8-519e5b7ae904 · outbound

This paper cites Polynet: Learning diverse solution strategies for neural combinatorial optimization.arXiv preprint arXiv:2402.14048, 2024.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Polynet: Learning diverse solution strategies for neural combinatorial optimization.arXiv preprint arXiv:2402.14048, 2024

Reference 22

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Observation 50e8be12-3b2b-4aa7-8db3-5394dae3c989 · outbound

This paper cites Constrained evolutionary optimization based on reinforcement learning using the objective function and constraints.Knowledge-Based Systems, 237:107731, 2022.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Constrained evolutionary optimization based on reinforcement learning using the objective function and constraints.Knowledge-Based Systems, 237:107731, 2022

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:28.967087Z

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Observation 4cdafdfb-361d-4ed5-86f5-5f9b8a3d7587 · outbound

This paper cites Evolution-guided policy gradient in reinforcement learning.Advances in Neural Information Processing Systems, 31, 2018.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Evolution-guided policy gradient in reinforcement learning.Advances in Neural Information Processing Systems, 31, 2018

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:28.662506Z

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This paper cites Learning collaborative policies to solve np-hard routing problems.Advances in Neural Information Processing Systems, 34:10418–10430, 2021.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Learning collaborative policies to solve np-hard routing problems.Advances in Neural Information Processing Systems, 34:10418–10430, 2021

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:28.380431Z

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Observation 51dc2c64-4a04-48c6-97f9-30c50a1ecd7e · outbound

This paper cites Sym-nco: Leveraging symmetricity for neural combinatorial optimization.Advances in Neural Information Processing Systems, 35:1936– 1949, 2022.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Sym-nco: Leveraging symmetricity for neural combinatorial optimization.Advances in Neural Information Processing Systems, 35:1936– 1949, 2022

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:28.193128Z

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Observation 291bd41e-66c5-4469-a943-d3718dfa0e02 · outbound

This paper cites An efficient evolutionary algorithm for the orienteering problem.Computers & Operations Research, 90:42–59, 2018.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization An efficient evolutionary algorithm for the orienteering problem.Computers & Operations Research, 90:42–59, 2018

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:27.986223Z

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Observation 152f8dea-e66a-43ef-9cf6-49c4299c867d · outbound

This paper cites Attention, Learn to Solve Routing Problems!.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Attention, Learn to Solve Routing Problems!

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:19.838303Z

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Observation 65bb00a6-c83f-4928-beff-a24cac048416 · outbound

This paper cites Pomo: Policy optimization with multiple optima for reinforcement learning.Advances in Neural Information Processing Systems, 33:21188–21198, 2020.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Pomo: Policy optimization with multiple optima for reinforcement learning.Advances in Neural Information Processing Systems, 33:21188–21198, 2020

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:19.991709Z

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Observation 16d9c9b1-eea3-467c-b872-ed72e2d462eb · outbound

This paper cites Neurocrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning.Applied Soft Computing, 146:110680, 2023.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Neurocrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning.Applied Soft Computing, 146:110680, 2023

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:27.592957Z

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Observation 502adf96-255b-42ff-a0f5-7ee04a2ebef0 · outbound

This paper cites Iterated local search: Framework and applications.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Iterated local search: Framework and applications

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:27.319348Z

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Observation 8352b01e-50d6-4299-a777-c869fa885e87 · outbound

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Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:58:26.911771Z

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Observation 6dc7292c-3e14-4066-a963-a7cc7d386c9f · outbound

This paper cites Learning to iteratively solve routing problems with dual-aspect collaborative transformer.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Learning to iteratively solve routing problems with dual-aspect collaborative transformer

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:26.662068Z

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Observation 335f2af5-b2f1-4d70-a75f-dbc3c55c724d · outbound

This paper cites A hybrid genetic algorithm for the min–max multiple traveling salesman problem.Computers & Operations Research, 162:106455, 2024.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization A hybrid genetic algorithm for the min–max multiple traveling salesman problem.Computers & Operations Research, 162:106455, 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:26.443927Z

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Observation 0230addc-dc06-47c5-bc91-44ee7b6069e1 · outbound

This paper cites H-tsp: Hierarchically solving the large-scale traveling salesman problem.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization H-tsp: Hierarchically solving the large-scale traveling salesman problem

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:26.292045Z

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Observation 1d19dfbf-db4d-4a00-833a-63f11c2dcf16 · outbound

This paper cites Application of genetic algorithm in logistics management and distribution.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Application of genetic algorithm in logistics management and distribution

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:26.076714Z

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Observation 61060cdf-7680-42bf-be1f-831b78ca9170 · outbound

This paper cites Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:25.811744Z

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Observation 38adb999-42cc-46ce-8d0b-27a8e70069f8 · outbound

This paper cites Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:58:23.359077Z

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Observation 72d287f0-ff76-4cf2-b841-f07fd964fd99 · outbound

This paper cites Combining evolution and deep reinforcement learning for policy search: A survey.ACM Transactions on Evolutionary Learning, 3(3):1–20, 2023.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Combining evolution and deep reinforcement learning for policy search: A survey.ACM Transactions on Evolutionary Learning, 3(3):1–20, 2023

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:25.593148Z

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Observation 245aba40-78bc-46ad-b5d6-fd6cea58b6d4 · outbound

This paper cites Equity-transformer: Solving np-hard min-max routing problems as sequential generation with equity context.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Equity-transformer: Solving np-hard min-max routing problems as sequential generation with equity context

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:25.444540Z

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Observation ae0f6060-82bd-418c-8d10-81be8f845f0f · outbound

This paper cites Learning encodings for constructive neural com- binatorial optimization needs to regret.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Learning encodings for constructive neural com- binatorial optimization needs to regret

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:25.260763Z

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Observation 09e1f3cc-eed8-434b-9cbc-500900eaca42 · outbound

This paper cites Csrx: A novel crossover operator for a genetic algorithm applied to the traveling salesperson problem.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Csrx: A novel crossover operator for a genetic algorithm applied to the traveling salesperson problem

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:25.020829Z

Source-reported events for the cited work

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Observation 3e2c418a-f275-4029-b292-8bf7e247f572 · outbound

This paper cites Hybrid genetic search for the cvrp: Open-source implementation and swap* neighborhood.Computers & Operations Research, 140:105643, 2022.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Hybrid genetic search for the cvrp: Open-source implementation and swap* neighborhood.Computers & Operations Research, 140:105643, 2022

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:21.714204Z

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Observation 8c3c30e4-25c5-42ea-922b-f807d1eb7912 · outbound

This paper cites Pointer networks.Advances in neural information processing systems, 28, 2015.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Pointer networks.Advances in neural information processing systems, 28, 2015

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:21.796697Z

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Observation 6710beb6-01cd-4a19-94f0-bbb3a7598665 · outbound

This paper cites Leader Reward for POMO-Based Neural Combinatorial Optimization.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Leader Reward for POMO-Based Neural Combinatorial Optimization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:21.874424Z

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Observation 1406b358-fe33-46e7-b98e-dcadee9f47b6 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforce- ment learning.Machine learning, 8:229–256, 1992.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Simple statistical gradient-following algorithms for connectionist reinforce- ment learning.Machine learning, 8:229–256, 1992

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:21.961177Z

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Observation c95df7cb-f910-4f2d-841b-13ba3191df8f · outbound

This paper cites Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:22.079726Z

Source-reported events for the cited work

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Observation c4ccac05-eabd-4cb6-88b3-6ec0e2a8cb0b · outbound

This paper cites Learning improvement heuristics for solving routing problems.IEEE transactions on neural networks and learning systems, 33(9):5057–5069, 2021.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Learning improvement heuristics for solving routing problems.IEEE transactions on neural networks and learning systems, 33(9):5057–5069, 2021

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:58:24.770164Z

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Observation d5f95264-a82a-416a-89c9-dfc5c4a0b9ba · outbound

This paper cites Optimization of Worker Scheduling at Logistics Depots Using Genetic Algorithms and Simulated Annealing.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Optimization of Worker Scheduling at Logistics Depots Using Genetic Algorithms and Simulated Annealing

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:58:23.084814Z

Source-reported events for the cited work

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Observation 8189e4ee-e886-4f2c-9ff5-3084f9072452 · outbound

This paper cites UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems

Reference 50

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