A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference73 articles.
1. An integrated multi-population genetic algorithm for multi-vehicle task assignment in a drift field;Bai;Inform. Sci.,2018
2. Guided local search with shifting bottleneck for job shop scheduling;Balas;Manage. Sci.,1998
3. Speed scaling to manage energy and temperature;Bansal;J. ACM,2007
4. Statistical review of world energy,2022
5. A cooperated shuffled frog-leaping algorithm for distributed energy-efficient hybrid flow shop scheduling with fuzzy processing time;Cai;Complex Intell. Syst.,2021
Cited by 22 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. FATA: An efficient optimization method based on geophysics;Neurocomputing;2024-11
2. An efficient algorithm for multi-objective structural optimization problems using an improved pbest-based differential evolution algorithm;Advances in Engineering Software;2024-11
3. Polar lights optimizer: Algorithm and applications in image segmentation and feature selection;Neurocomputing;2024-11
4. A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations;Computers & Industrial Engineering;2024-10
5. A Pareto-optimality based black widow spider algorithm for energy efficient flexible job shop scheduling problem considering new job insertion;Applied Soft Computing;2024-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3