A two phase hybrid algorithm with a new decomposition method for large scale optimization
Author:
Affiliation:
1. School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China
2. School of Computer Science and IT, RMIT University, Melbourne, Australia
Publisher
IOS Press
Subject
Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software
Reference84 articles.
1. High-performance computing for large-scale analysis, optimization, and control;Adeli;Journal of Aerospace Engineering,2000
2. Augmented lagrangian genetic algorithm for structural optimization;Adeli;Journal of Aerospace Engineering,1994
3. Concurrent genetic algorithms for optimization of large structures;Adeli;Journal of Aerospace Engineering,1994
4. A particle swarm optimization approach in printed circuit board thermal design;Alexandridis;Integrated Computer-Aided Engineering,2017
5. Analyzing the influence of contrast in large-scale recognition of natural images;Sánchez;Integrated Computer-Aided Engineering,2016
Cited by 24 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 space-reduction based three-phase approach for large-scale optimization;Applied Soft Computing;2023-09
2. Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization;IEEE Transactions on Evolutionary Computation;2022-12
3. An Improvement Evolutionary Algorithm Based on Decomposition and Grid-based Pareto Dominance for Many-objective Optimization;2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT);2022-07
4. Near real-time management of appliances, distributed generation and electric vehicles for demand response participation;Integrated Computer-Aided Engineering;2022-06-21
5. Semi-Automatic Ontology Matching Based on Interactive Compact Genetic Algorithm;International Journal of Pattern Recognition and Artificial Intelligence;2022-04
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