Prediction in evolutionary algorithms for dynamic environments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-013-1154-z.pdf
Reference44 articles.
1. Barlow GJ, Smith SF (2008) A memory enhanced evolutionary algorithm for dynamic scheduling problems. In: Applications of evolutionary computing. Lecture notes in computer science, vol. 4974. Springer, Berlin, pp 606–615
2. Ben-Romdhane H, Alba E, Krichen S (2013) Best practices in measuring algorithm performance for dynamic optimization problems. Soft Comput 17(6):1005–1017
3. Bosman PAN, La Poutré H (2006) Computationally intelligent online dynamic vehicle routing by explicit load prediction in evolutionary algorithm. In: Proceedings of parallel problem solving from nature. Lecture notes in computer science, vol 4193. Springer, Berlin, pp 312–321
4. Bosman PAN, La Poutré H (2007) Inventory management and the impact of anticipation in evolutionary stochastic online dynamic optimization. In: Proceedings of the IEEE congress on evolutionary computation. IEEE Press, New York, pp 268–275
5. Branke J (2002) Evolutionary optimization in dynamic environments. Kluwer Academic Publishers, Dordrecht
Cited by 23 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. A Self-learning Particle Swarm Optimization Algorithm for Dynamic Job Shop Scheduling Problem with New Jobs Insertion;Lecture Notes in Computer Science;2024
2. Meta-learning-based multi-objective PSO model for dynamic scheduling optimization;Energy Reports;2023-10
3. Enhancing Dynamic Multi-objective Optimization Using Opposition-based Learning and Simulated Annealing;International Journal on Artificial Intelligence Tools;2023-06
4. Evolutionary approach for dynamic constrained optimization problems;Alexandria Engineering Journal;2023-03
5. Dynamic operation optimization based on improved dynamic multi-objective dragonfly algorithm in continuous annealing process;Journal of Industrial and Management Optimization;2023
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