A Parallel Genetic Algorithm in Multi-objective Optimization

被引：8
|
作者：
Wang Zhi-xin [1 ]
Ju Gang [1 ]
机构：
[1] Southeast Univ, Sch Energy & Environm, Nanjing 210096, Peoples R China
来源：
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年
关键词：
Multi-objective optimization; NSGA-II; Parallel genetic algorithm; Individual migration; Individual update;
D O I：
10.1109/CCDC.2009.5192490
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on the combination of NSGA-II algorithm and parallel genetic algorithm, this paper presents a parallel genetic algorithm for multi-objective optimization (PNSGA). At the evolving process of this new algorithm, an individual migration to improve the parallel searching speed is applied to improve the efficiency of this algorithm and the accuracy of Pareto optimal set; at the same time, an individual update strategy is introduced to keep the diversity of Pareto optimal set. Data show that the Pareto optimal solutions or the solution candidates output by PNSGA that are scattered extensively and uniformly.
引用
收藏
页码：3497 / 3501
页数：5
相关论文
共 50 条
  • [1] Parallel Distributed Genetic Algorithm for Expensive Multi-Objective Optimization Problems
    Szlachcic, Ewa
    Zubik, Waldemar
    COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2009, 2009, 5717 : 938 - +
  • [2] A Selective Migration Parallel Multi-objective Genetic Algorithm
    Qiu, Tengfei
    Ju, Gang
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 463 - 467
  • [3] A genetic algorithm for unconstrained multi-objective optimization
    Long, Qiang
    Wu, Changzhi
    Huang, Tingwen
    Wang, Xiangyu
    SWARM AND EVOLUTIONARY COMPUTATION, 2015, 22 : 1 - 14
  • [4] Genetic algorithm for multi-objective experimental optimization
    Link, Hannes
    Weuster-Botz, Dirk
    BIOPROCESS AND BIOSYSTEMS ENGINEERING, 2006, 29 (5-6) : 385 - 390
  • [5] Genetic algorithm for multi-objective experimental optimization
    Hannes Link
    Dirk Weuster-Botz
    Bioprocess and Biosystems Engineering, 2006, 29 : 385 - 390
  • [6] An improved genetic algorithm for multi-objective optimization
    Chen, GL
    Guo, WZ
    Tu, XZ
    Chen, HW
    Progress in Intelligence Computation & Applications, 2005, : 204 - 210
  • [7] Evolutionary Rough Parallel Multi-Objective Optimization Algorithm
    Maulik, Ujjwal
    Sarkar, Anasua
    FUNDAMENTA INFORMATICAE, 2010, 99 (01) : 13 - 27
  • [8] A Multi-agent genetic algorithm for multi-objective optimization
    Akopov, Andranik S.
    Hevencev, Maxim A.
    2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), 2013, : 1391 - 1395
  • [9] Compensation method in genetic algorithm for multi-objective optimization
    Yuan Hua
    Chen Guo-qing
    PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2, 2005, : 943 - 946
  • [10] Cooperative Genetic Multi-objective Optimization Algorithm and Application
    Gao, Li
    Kong, Dan
    ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 2814 - 2817
12345