Multi-objective Particle Swarm Optimization Algorithm Based on the Disturbance Operation

被引：0
|
作者：
Gao, Yuelin [1 ]
Qu, Min [1 ]
机构：
[1] Beifang Univ Nationalities, Inst Informat & Syst Sci, Ningxia 750021, Yinchuan, Peoples R China
来源：
ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT I | 2011年 / 7002卷
关键词：
multi-objective optimization; particle swarm optimization; disturbance operation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To overcome the defect of wide-ranged exploration for particle swarm optimization, a kind of multi-objective particle swarm optimization algorithm with disturbance operation(MPSOD) is proposed. It employs particle swarm optimization and disturbance operation to generate new population in order to enhance the wide-ranged exploration for particle swarm optimization algorithm. Numerical experiments are compared with NSGA-II, SPEA2 and IVIOPSO On six benchmark problems. The numerical results show the effectiveness of the proposed MPSOD algorithm.
引用
收藏
页码：591 / 600
页数：10
相关论文
共 50 条
  • [1] Multi-objective particle swarm and genetic algorithm for the optimization of the LANSCE linac operation
    Pang, X.
    Rybarcyk, L. J.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2014, 741 : 124 - 129
  • [2] Modified Multi-Objective Particle Swarm Optimization Algorithm for Multi-objective Optimization Problems
    Qiao, Ying
    ADVANCES IN SWARM INTELLIGENCE, ICSI 2012, PT I, 2012, 7331 : 520 - 527
  • [3] Improved multi-objective particle swarm optimization algorithm
    College of Automation, Northwestern Polytechnical University, Xi'an 710129, China
    不详
    Liu, B. (lbn1987113@163.com), 2013, Beijing University of Aeronautics and Astronautics (BUAA) (39):
  • [4] An improved multi-objective particle swarm optimization algorithm
    Zhang, Qiuming
    Xue, Siqing
    ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS, 2007, 4683 : 372 - +
  • [5] A simplified multi-objective particle swarm optimization algorithm
    Vibhu Trivedi
    Pushkar Varshney
    Manojkumar Ramteke
    Swarm Intelligence, 2020, 14 : 83 - 116
  • [6] Constrained Multi-objective Particle Swarm Optimization Algorithm
    Gao, Yue-lin
    Qu, Min
    EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, 2012, 304 : 47 - 55
  • [7] A particle swarm algorithm for multi-objective optimization problem
    Institute of Information Engineering, Xiangtan University, Xiangtan 411105, China
    Moshi Shibie yu Rengong Zhineng, 2007, 5 (606-611):
  • [8] Multi-Objective Mean Particle Swarm Optimization Algorithm
    Pei, Shengyu
    Zhou, Yongquan
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 3315 - 3319
  • [9] A simplified multi-objective particle swarm optimization algorithm
    Trivedi, Vibhu
    Varshney, Pushkar
    Ramteke, Manojkumar
    SWARM INTELLIGENCE, 2020, 14 (02) : 83 - 116
  • [10] Adaptive Multi-objective Particle Swarm Optimization algorithm
    Tripathi, P. K.
    Bandyopadhyay, Sanghamitra
    Pal, S. K.
    2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 2281 - +
12345