A Competitive Memetic Algorithm for Carbon-Efficient Scheduling of Distributed Flow-Shop
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-42291-6_48
Reference23 articles.
1. Fang, K., Uhan, N., Zhao, F., Sutherland, J.W.: A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction. J. Manuf. Syst. 30, 234–240 (2011)
2. Mouzon, G., Yildirim, M.B., Twomey, J.: Operational methods for minimization of energy consumption of manufacturing equipment. Int. J. Prod. Res. 45, 4247–4271 (2007)
3. Mouzon, G., Yildirim, M.B.: A framework to minimise total energy consumption and total tardiness on a single machine. Int. J. Sustain. Eng. 1, 105–116 (2008)
4. Dai, M., Tang, D., Giret, A., Salido, M.A., Li, W.D.: Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robotics Comput.-Integr. Manuf. 29, 418–429 (2013)
5. Yao F., Demers A., Shenker S.: A scheduling model for reduced CPU energy. In: 36th Annual Symposium on Foundations of Computer Science, pp. 374–382 (1995)
Cited by 26 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. An Improved Multi-Objective Iterated Greedy Algorithm for Energy-Efficient Distributed Permutation Flowshop Scheduling Problem with Sequence-dependent Setup Times;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25
2. A hybrid white shark optimizer for low-carbon permutation flow shop scheduling;AIP Conference Proceedings;2024
3. Addressing the Single and Multi-Objective Energy-Aware Flowshop Scheduling Problem Through Diverse Variations of the Pso Algorithm;2024
4. A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption;Engineering Applications of Artificial Intelligence;2023-11
5. Green Scheduling Study for Machine Production Line with Robots;Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum;2023-09-22
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