We propose a non-dominated sorting genetic algorithm II enhanced with reinforcement learning (NSGAeRL) to address the multi-objective scheduling optimization ...
Jul 3, 2024 · The proposed MPKNN model has good fitting and prediction ability. Meanwhile, it can avoid unwanted zero value and wrong signal of the model ...
Alipour, A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem, Neural Comput.
Multi-objective genetic algorithm embedded with reinforcement learning for petrochemical melt-flow-index production scheduling. CY Lee, CY Ho, YH Hung, YW ...
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Multi-objective genetic algorithm embedded with reinforcement learning for petrochemical melt-flow-index production scheduling. Article. Jul 2024; APPL SOFT ...
[86] Lee, Chia-Yen, and Chen, Yen-Wen, 2023. Reinforcement Learning and Data Envelopment Analysis for Capacity Planning with Demand Volatility. ... Heuristic ...
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Lee, Multi-objective genetic algorithm embedded with reinforcement learning for petrochemical melt-flow-index production scheduling, Appl Soft Comput, № 159
Aug 1, 2023 · We use Deep-Q-Learning which is a deep Reinforcement Learning (RL) algorithm to perform integrated process planning and scheduling. We present ...
This article proposes a novel multi-agent deep reinforcement learning (MADRL)-based optimization algorithm.
Missing: embedded petrochemical melt-
榮獲中國工業工程學會碩士論文獎[作業研究組] 優勝! Multi-objective Genetic Algorithm and Reinforcement Learning for Petrochemical MFI-Production Scheduling 多目標 ...