An Asynchronous MOPSO for Multi-objective Optimization Problem

被引：0
|
作者：
Wu, Dongmei [1 ]
Gao, Hao [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Sch Automat, Nanjing 210023, Jiangsu, Peoples R China
来源：
2014 10TH FRANCE-JAPAN/ 8TH EUROPE-ASIA CONGRESS ON MECATRONICS (MECATRONICS) | 2014年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a multi-objective particle swarm optimization with asynchronous update (AS-MOPSO). That is, Pareto front is immediately evaluated whenever a particle in the swarm updates, a subsequent particle in the swarm regulates its position partly based on information up to current iteration, and partially depending on previous message. To evaluate the features of the proposed algorithm, examples of multiple objective optimization (MOO) were tested. Results indicated advantages of AS-MOPSO in dealing with MOO problems, compared to MOPSO with synchronous update.
引用
收藏
页码：70 / 73
页数：4
相关论文
共 50 条
  • [1] Research of Pareto-Based Multi-Objective Optimization for Multi-Vehicle Assignment Problem Based on MOPSO
    Ai Di-Ming
    Zhang Zhe
    Zhang Rui
    Pan Feng
    ADVANCES IN SWARM INTELLIGENCE, PT II, 2011, 6729 : 10 - 16
  • [2] Multi-Objective Factored Evolutionary Optimization and the Multi-Objective Knapsack Problem
    Peerlinck, Amy
    Sheppard, John
    2022 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2022,
  • [3] MULTI-OBJECTIVE OPTIMIZATION OF DEEP-FAT FRYING OF OSTRICH MEAT PLATES USING MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION (MOPSO)
    Amiryousefi, Mohammad Reza
    Mohebbi, Mohebat
    Khodaiyan, Faramarz
    Ahsaee, Mostafa Ghazizadeh
    JOURNAL OF FOOD PROCESSING AND PRESERVATION, 2014, 38 (04) : 1472 - 1479
  • [4] Multi-objective optimization using asynchronous distributed applications
    Giassi, A
    Bennis, F
    Maisonneuve, JJ
    JOURNAL OF MECHANICAL DESIGN, 2004, 126 (05) : 767 - 774
  • [5] A COMPREHENSIVE SURVEY: APPLICATIONS OF MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION (MOPSO) ALGORITHM
    Lalwani, S.
    Singhal, S.
    Kumar, R.
    Gupta, N.
    TRANSACTIONS ON COMBINATORICS, 2013, 2 (01) : 39 - 101
  • [6] Multi-objective optimization of power system performance with TCSC using the MOPSO algorithm
    Mollazei, Sara
    Farsangi, Malihe M.
    Nezamabadi-Pour, Hossein
    Lee, Kwang Y.
    2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10, 2007, : 2538 - +
  • [7] MULTI-OBJECTIVE OPTIMIZATION PROBLEM WITH BOUNDED PARAMETERS
    Bhurjee, Ajay Kumar
    Panda, Geetanjali
    RAIRO-OPERATIONS RESEARCH, 2014, 48 (04) : 545 - 558
  • [8] Multi-objective optimization problem for the dimensioning of buffers
    Chehade, Hicham
    Yalaoui, Farouk
    Amodeo, Lionel
    De Guglielmo, Pascal
    Journal of Decision Systems, 2009, 18 (02) : 257 - 287
  • [9] Multi-objective enhanced interval optimization problem
    Kumar, P.
    Bhurjee, A. K.
    ANNALS OF OPERATIONS RESEARCH, 2022, 311 (02) : 1035 - 1050
  • [10] A New Method for Multi-Objective Optimization Problem
    Jiang Hong
    Yang Meng-fei
    Zhang Shao-lin
    Wang Ruo-chuan
    2013 IEEE 4TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC), 2014, : 209 - 212
12345