Advances in Hybrid Evolutionary Algorithms for Fuzzy Flexible Job-shop Scheduling: State-of-the-Art Survey
Author:
Affiliation:
1. Fuzzy Logic Systems Institute, Japan, --- Select a Country ---
2. Tokyo University of Science, Tokyo, Japan, --- Select a Country ---
3. School of Software, Dalian University of Technology, Dalian, China, --- Select a Country ---
Publisher
SCITEPRESS - Science and Technology Publications
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Research on Scheduling Algorithm of Knitting Production Workshop Based on Deep Reinforcement Learning;Machines;2024-08-22
2. Neighbourhood search for energy minimisation in flexible job shops under fuzziness;Natural Computing;2023-10-18
3. Enhanced memetic search for reducing energy consumption in fuzzy flexible job shops;Integrated Computer-Aided Engineering;2023-03-15
4. Improved Multiverse Optimization Algorithm for Fuzzy Flexible Job-Shop Scheduling Problem;IEEE Access;2023
5. A Global Neighborhood with Hill-Climbing Algorithm for Fuzzy Flexible Job Shop Scheduling Problem;Mathematics;2022-11-12
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