A new differential mutation base generator for differential evolution

被引：20
|
作者：
Lin, Chuan [1 ,2 ]
Qing, Anyong [2 ]
Feng, Quanyuan [1 ]
机构：
[1] SW Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Peoples R China
[2] Natl Univ Singapore, Temasek Labs, Singapore 117508, Singapore
来源：
JOURNAL OF GLOBAL OPTIMIZATION | 2011年 / 49卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Differential evolution; Differential mutation; Best of random; Diversity; ELECTROMAGNETIC INVERSE SCATTERING; OPTIMIZATION;
D O I：
10.1007/s10898-010-9535-7
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
A new differential mutation base strategy for differential evolution (DE), namely best of random, is proposed. The best individual among several randomly chosen individuals is chosen as the differential mutation base while the other worse individuals are donors for vector differences. Hence both good diversity and fast evolution speed can be obtained in DE using the new differential mutation base. A comprehensive comparative study is carried out over a set of benchmark functions. Numerical results show that a better balance of reliability and efficiency can be obtained in differential evolution implementing the new generator of differential mutation base, especially in functions with high dimension.
引用
收藏
页码：69 / 90
页数：22
相关论文
共 50 条
  • [21] Modified Mutation Operators for Differential Evolution
    Kumar, Pravesh
    Pant, Millie
    Singh, V. P.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2011), VOL 1, 2012, 130 : 579 - +
  • [22] A Trigonometric Mutation Operation to Differential Evolution
    Hui-Yuan Fan
    Jouni Lampinen
    [J]. Journal of Global Optimization, 2003, 27 : 105 - 129
  • [23] An Adaptive Differential Evolution with Unsymmetrical Mutation
    Shi, Edwin C.
    Leung, Frank H. F.
    Lai, Johnny C. Y.
    [J]. 2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2011, : 1879 - 1886
  • [24] Triangular Gaussian mutation to differential evolution
    Guo, Jinglei
    Wu, Yong
    Xie, Wei
    Jiang, Shouyong
    [J]. SOFT COMPUTING, 2020, 24 (12) : 9307 - 9320
  • [25] Differential Evolution with Improved Mutation Strategy
    Wan, Shuzhen
    Xiong, Shengwu
    Kou, Jialiang
    Liu, Yi
    [J]. ADVANCES IN SWARM INTELLIGENCE, PT I, 2011, 6728 : 431 - 438
  • [26] Differential Evolution Based on Adaptive Mutation
    Miao, Xiaofeng
    Fan, Panguo
    Wang, Jiangbo
    Li, Chuanwei
    [J]. 2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 3, 2010, : 113 - 116
  • [27] Asynchronous Differential Evolution with Convex Mutation
    Vaishali
    Sharma, Tarun Kumar
    [J]. PROCEEDINGS OF FIFTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2015), VOL 2, 2016, 437 : 915 - 928
  • [28] On the selection of solutions for mutation in differential evolution
    Yong Wang
    Zhi-Zhong Liu
    Jianbin Li
    Han-Xiong Li
    Jiahai Wang
    [J]. Frontiers of Computer Science, 2018, 12 : 297 - 315
  • [29] On the selection of solutions for mutation in differential evolution
    Wang, Yong
    Liu, Zhi-Zhong
    Li, Jianbin
    Li, Han-Xiong
    Wang, Jiahai
    [J]. FRONTIERS OF COMPUTER SCIENCE, 2018, 12 (02) : 297 - 315
  • [30] A Study on Base Vector for Differential Evolution
    Qing, Anyong
    [J]. 2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8, 2008, : 550 - 556
12345