Research of Biogeography-Based Multi-Objective Evolutionary Algorithm

被引：3
|
作者：
Mo, Hongwei [1 ,2 ]
Xu, Zhidan [3 ]
机构：
[1] Harbin Engn Univ, Automat Coll, Engn, Harbin, Heilongjiang, Peoples R China
[2] UCDavis, Davis, CA USA
[3] Harbin Engn Univ, Coll Automat, Harbin, Heilongjiang, Peoples R China
来源：
JOURNAL OF INFORMATION TECHNOLOGY RESEARCH | 2011年 / 4卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Biogeography-Based Optimization Algorithm; Evolutionary Algorithm; Multi-Objective Optimization Problem; Optimization Algorithm; Pareto Optimal Solutions;
D O I：
10.4018/jitr.2011040106
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Biogeography-based optimization algorithm (BBO) is an optimization algorithm inspired by the migration of animals in nature. A new multi-objective evolutionary algorithm is proposed, which is called Biogeographybased multi-objective evolutionary algorithm (BBMOEA). The fitness assignment and the external population elitism of SPEA2 are adapted to ensure even distribution of the solution set. The population evolutionary operators of BBO are applied to the evolution of the external population to ensure the convergence of the solution set. Simulation results on benchmark test problems illustrate the effectiveness and efficiency of the proposed algorithm.
引用
收藏
页码：70 / 80
页数：11
相关论文
共 50 条
  • [1] Multi-objective disturbance biogeography-based optimization algorithm
    [J]. Xu, Z.-D. (xuzhidanivy@163.com), 1600, Northeast University (29):
  • [2] Performance assessment of biogeography-based multi-objective algorithm for frequency assignment problem
    Daoudi, Asma
    Benatchba, Karima
    Bessedik, Malika
    Hamdad, Leila
    [J]. INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2021, 18 (04) : 199 - 209
  • [3] Multi-objective optimization based on hybrid biogeography-based optimization
    [J]. Bi, X.-J. (bixiaojun@hrbeu.edu.cn), 1600, Chinese Institute of Electronics (36):
  • [4] Novel constrained multi-objective biogeography-based optimization algorithm for robot path planning
    徐志丹
    莫宏伟
    [J]. Journal of Beijing Institute of Technology, 2014, 23 (01) : 96 - 101
  • [5] A Multi-Objective Biogeography-Based Optimization for Virtual Machine Placement
    Zheng, Qinghua
    Li, Rui
    Li, Xiuqi
    Wu, Jie
    [J]. 2015 15TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING, 2015, : 687 - 696
  • [6] Biogeography-based multi-objective optimization algorithm with hybrid migration and applying in ethylene cracking process
    Huang, Zheming
    Qi, Rongbin
    [J]. PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 3026 - 3031
  • [7] Multi-objective Optimal Power Flow Using Biogeography-based Optimization
    Roy, P. K.
    Ghoshal, S. P.
    Thakur, S. S.
    [J]. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2010, 38 (12) : 1406 - 1426
  • [8] Numerical comparisons of migration models for Multi-objective Biogeography-Based Optimization
    Guo, Weian
    Wang, Lei
    Wu, Qidi
    [J]. INFORMATION SCIENCES, 2016, 328 : 302 - 320
  • [9] Research on a novel biogeography-based optimization algorithm based on evolutionary programming
    Cai, Zhi-Hua
    Gong, Wen-Yin
    Ling, Charles-X
    [J]. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2010, 30 (06): : 1106 - 1112
  • [10] Biogeography-based optimisation with migration velocity for multi-objective optimisation problems
    Li, Wuzhao
    Mao, Yanfen
    Guo, Weian
    Wang, Lei
    Wu, Qidi
    [J]. INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2017, 10 (01) : 43 - 50
12345