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Multi-objective optimization for improving machining benefit based on WOA-BBPN and a Deep Double Q-Network
Juan Lu, Zhiheng Chen, Xiaoping Liao, Chaoyi Chen, Haibin Ouyang, Steven Li
Beibu Gulf University Guangxi University Guangzhou University RMIT University
来源Applied Soft Computing
年份2023
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学术脉络
学科主题
工程Advanced Machining and Optimization Techniques
Advanced machining processes and optimization · Manufacturing Process and Optimization
参考文献 45
Simultaneous optimization of multiple quality characteristics in laser cutting of titanium alloy sheet
被引 138Arun Kumar Pandey, Avanish Kumar Dubey · Optics & Laser Technology · 2012
A multi-objective genetic algorithm (GA) approach for optimization of surface grinding operations
被引 140R. Saravanan, P. Asokan, Meikandasivam Sachidanandam · International Journal of Machine Tools and Manufacture · 2002
The evolutionary development of roughness prediction models
被引 35Maciej Grzenda, Andrés Bustillo · Applied Soft Computing · 2012
此处列出前 3 条
引用本文 14
Predicting energy consumption of chiller plant using WOA-BiLSTM hybrid prediction model: A case study for a hospital building
被引 38Yang Song, Hui Xie, Zhengwei Zhu · Energy and Buildings · 2023
Multi-objective optimization of electrical discharge machining parameters using particle swarm optimization
被引 32C.J. Luis Pérez · Applied Soft Computing · 2024
Machining parameter optimization for a batch milling system using multi-task deep reinforcement learning
被引 18Pei Wang, Yixin Cui, Haizhen Tao · Journal of Manufacturing Systems · 2024
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