Solving interval many-objective optimization problems by combination of NSGA-III and a local fruit fly optimization algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Solving interval many-objective optimization problems by combination of NSGA-III and a local fruit fly optimization algorithm

Published:2022-01 Issue: Volume:114 Page:108096
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Ge Fawei,Li Kun^ORCID,Han Ying^ORCID

Funder

Liaoning Province

Publisher

Elsevier BV

Subject

Software

Reference56 articles.

1. A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting;Niu;Appl. Energy,2019

2. A hybrid multi-objective optimization approach for energy-absorbing structures in train collisions;Zhang;Inform. Sci.,2019

3. A novel wind power probabilistic forecasting approach based on joint quantile regression and multi-objective optimization;Hu;Renew. Energy,2020

4. DLEA: A dynamic learning evolution algorithm for many-objective optimization;Li;Inform. Sci.,2021

5. Preference-based evolutionary multi-objective optimization in ship weather routing;Szlapczynska;Appl. Soft Comput.,2019

Cited by 11 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. NSGA-III algorithm for optimizing robot collaborative task allocation in the internet of things environment;Journal of Computational Science;2024-09

2. A novel multi-objective dung beetle optimizer for Multi-UAV cooperative path planning;Heliyon;2024-09

3. A MOGA and extended RPN based approach for heuristic key reliability characteristics analysis in manufacturing;ISA Transactions;2024-07

4. An industry-oriented digital twin model for predicting posture-dependent FRFs of industrial robots;Mechanical Systems and Signal Processing;2024-04

5. Multi-mechanism swarm optimization for multi-UAV task assignment and path planning in transmission line inspection under multi-wind field;Applied Soft Computing;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