Application of Q-Learning Combined with Gravitational Search Algorithm in Disassembly Sequence Planning of Multi Part Equipment

Author:

Li Bailin,Chen Ao,Wu Panqi,Zhang Chao,Fu Wenlong

Publisher

Elsevier BV

Reference31 articles.

1. GSA-LA: gravitational search algorithm based on learning automata;M Alirezanejad;Journal of Experimental & Theoretical Artificial Intelligence,2021

2. Reinforcement learning for disassembly sequence planning optimization;A Allagui;Computers in Industry,2023

3. A context-aware real-time humanrobot collaborating reinforcement learning-based disassembly planning model under uncertainty;A Amirnia;International Journal of Production Research,2021

4. A novel reinforcement learning framework for disassembly sequence planning using Q-learning technique optimized using an enhanced simulated annealing algorithm. Ai Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing;M Chand;International Journal of Production Research,2012

5. A disassembly sequence planning method with improved discrete grey wolf optimizer for equipment maintenance in hydropower station;W L Fu;Journal of Supercomputing,2023

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