Intelligent Algorithms for solving multiobjective optimization problems

被引：0
|
作者：
Yi Hong-Xia [1 ]
Xiao Liu [1 ]
Liu Pu-Kun [1 ]
机构：
[1] Chinese Acad Sci, Inst Elect, Beijing 100190, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
Multiobjective optimization; Genetic Algorithm; Particle Swarm optimization; Simulated Annealing; Ant Colony Algorithms;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This paper presents a comprehensive survey of many evolutionary algorithms for solving multiobjective optimization problems. Four main kinds of multiobjective algorithms (GA, PSO, SA, and AC) have been presented, and their merits and demerits are compared and discussed respectively. Finally, a mix algorithm is suggested as an effective method.
引用
收藏
页码：13101 / 13105
页数：5
相关论文
共 50 条
  • [1] Multiobjective evolutionary algorithms for solving constrained optimization problems
    Sarker, Ruhul
    Ray, Tapabrata
    [J]. INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 2, PROCEEDINGS, 2006, : 197 - +
  • [2] A survey of intelligent optimization algorithms for solving satisfiability problems
    Yang, Lan
    Wang, Xiaofeng
    Ding, Hongsheng
    Yang, Yi
    Zhao, Xingyu
    Pang, Lichao
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 45 (01) : 445 - 461
  • [3] Challenges for Evolutionary Multiobjective Optimization Algorithms in Solving Variable-length Problems
    Li, Hui
    Deb, Kalyanmoy
    [J]. 2017 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2017, : 2217 - 2224
  • [4] Two adaptive nonmonotone trust-region algorithms for solving multiobjective optimization problems
    Ghalavand, Nasim
    Khorram, Esmaile
    Morovati, Vahid
    [J]. OPTIMIZATION, 2024, 73 (09) : 2953 - 2985
  • [5] Differential evolution for solving multiobjective optimization problems
    Sarker, R
    Abbass, HA
    [J]. ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH, 2004, 21 (02) : 225 - 240
  • [6] Research on intelligent algorithms for solving portfolio problems
    Wang, Hongwei
    Huo, Lin
    Feng, Jinhao
    [J]. 2020 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE COMMUNICATION AND NETWORK SECURITY (CSCNS2020), 2021, 336
  • [7] Solving Multimodal Optimization Problems through a Multiobjective Optimization Approach
    Ji, Jing-Yu
    Yu, Wei-Jie
    Chen, Wei-Neng
    Zhan, Zhi-Hui
    Zhang, Jun
    [J]. 2017 SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2017), 2017, : 458 - 463
  • [8] ALGORITHMS FOR SOLVING UNCONSTRAINED OPTIMIZATION PROBLEMS
    Kuang, Ping
    Zhao, Qin-Min
    Xie, Zhen-Yu
    [J]. 2015 12TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2015, : 379 - 382
  • [9] A METHODOLOGY FOR SOLVING MULTIOBJECTIVE SIMULATION-OPTIMIZATION PROBLEMS
    TELEB, R
    AZADIVAR, F
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1994, 72 (01) : 135 - 145
  • [10] Solving multiobjective problems using cat swarm optimization
    Pradhan, Pyari Mohan
    Panda, Ganapati
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (03) : 2956 - 2964
12345