How Well Does the Metropolis Algorithm Cope With Local Optima?

Author:

Doerr Benjamin1ORCID,El Ghazi El Houssaini Taha1ORCID,Rajabi Amirhossein2ORCID,Witt Carsten2ORCID

Affiliation:

1. École Polytechnique, Palaiseau, France

2. Technical University of Denmark, Kgs. Lyngby, Denmark

Funder

Danmarks Frie Forskningsfond

Agence Nationale de la Recherche

Publisher

ACM

Reference51 articles.

1. The (1 + ( λ,λ )) GA is even faster on multimodal problems

2. Thomas Bäck . 1996. Evolutionary Algorithms in Theory and Practice - Evolution Strategies , Evolutionary Programming, Genetic Algorithms . Oxford University Press . Thomas Bäck. 1996. Evolutionary Algorithms in Theory and Practice - Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press.

3. Generalized jump functions

4. Chao Bian , Yawen Zhou , Miqing Li , and Chao Qian . 2023 . Stochastic population update can provably be helpful in multi-objective evolutionary algorithms . In International Joint Conference on Artificial Intelligence, IJCAI 2023. To appear. Chao Bian, Yawen Zhou, Miqing Li, and Chao Qian. 2023. Stochastic population update can provably be helpful in multi-objective evolutionary algorithms. In International Joint Conference on Artificial Intelligence, IJCAI 2023. To appear.

5. Duc-Cuong Dang , Anton V. Eremeev , and Per Kristian Lehre . 2021 . Escaping Local Optima with Non-Elitist Evolutionary Algorithms. In AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI Press, 12275--12283. Duc-Cuong Dang, Anton V. Eremeev, and Per Kristian Lehre. 2021. Escaping Local Optima with Non-Elitist Evolutionary Algorithms. In AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI Press, 12275--12283.

Cited by 3 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. How to Use the Metropolis Algorithm for Multi-Objective Optimization?;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

2. A Flexible Evolutionary Algorithm with Dynamic Mutation Rate Archive;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

3. Choosing the right algorithm with hints from complexity theory;Information and Computation;2024-01

同舟云学术

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