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Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution.

, , , , , , , and . CoRR, (2024)

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A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems., , , , and . ICONIP (7), volume 1961 of Communications in Computer and Information Science, page 340-351. Springer, (2023)Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution., , , , , , , and . CoRR, (2024)An efficient computational approach for automatic itinerary planning on web servers., , , and . GECCO, page 991-999. ACM, (2021)MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning., , , , , , , and . CoRR, (2023)Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning., , , , , and . CoRR, (2024)The study of the fixation for femoral neck fracture based on finite element method., , and . EMEIT, page 2172-2174. IEEE, (2011)RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning., , , , and . CoRR, (2024)Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning., , , , and . CoRR, (2024)LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation., , , , , , and . CoRR, (2024)