Solving numerical and engineering optimization problems using a dynamic dual-population differential evolution algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Solving numerical and engineering optimization problems using a dynamic dual-population differential evolution algorithm

Published:2024-09-14 Issue: Volume: Page:
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Zuo Wenlu,Gao Yuelin^ORCID

Funder

the Key Project of Ningxia Natural Science Foundation

the First-class Discipline Construction Fund Project of Ningxia Higher Education

the Major Scientific Research Special of North Minzu University

the 2023 Graduate Innovation Project of North Minzu University

the Basic Discipline Research Projects Supported by Nanjing Securities

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13042-024-02361-7.pdf

Reference118 articles.

1. Hajipour V, Kheirkhah AS, Tavana M et al (2015) Novel Pareto-based meta-heuristics for solving multi-objective multi-item capacitated lot-sizing problems. Int J Adv Manuf Technol 80:31–45. https://doi.org/10.1007/s00170-015-6993-6

2. Abdel-Basset M, Abdel-Fatah L, Sangaiah AK (2018) Chapter 10-metaheuristic algorithms: a comprehensive review in computational intelligence for multimedia big data on the cloud with engineering applications. https://doi.org/10.1016/B978-0-12-813314-9.00010-4

3. Ribagin S, Lyubenova V (2021) Metaheuristic algorithms: theory and applications. In: research in computer science in the Bulgarian academy of sciences, pp 385–419. https://doi.org/10.1007/978-3-030-72284-5_18

4. Sloss AN, Gustafson S (2019) evolutionary algorithms review. In: Genetic programming theory and practice XVII, 2020, pp 307–344. https://doi.org/10.1007/978-3-030-39958-0_16

5. Ahmad MF, Isa NAM, Lim WH et al (2022) Differential evolution: a recent review based on state-of-the-art works. Alex Eng J 61(5):3831–3872. https://doi.org/10.1016/j.aej.2021.09.013

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