Self-adaptive barebones differential evolution

被引：1
|
作者：
Omran, Mahamed G. H. [1 ]
Engelbrecht, Andries P. [2 ]
Salman, Ayed [3 ]
机构：
[1] Gulf Univ Sci & Technol, Dept Comp Sci, Kuwait, Kuwait
[2] Univ Pretoria, Dept Comp Sci, ZA-0002 Pretoria, South Africa
[3] Kuwait Univ, Dept Comp Engn, Safat 13060, Kuwait
来源：
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/CEC.2007.4424834
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Differential Evolution (DE) is generally considered as a reliable, accurate, robust and fast optimization technique. DE has been successfully applied to solve a wide range of numerical optimization problems. However, the user is required to set the values of the control parameters of DE for each problem. Such parameter tuning is a time consuming task. In this paper, a new version of DE which eliminates the need for manual parameter tuning is proposed. The performance of the proposed approach is investigated and compared with other well-known approaches. The results show that the new algorithm provides good performance when applied to multimodal problems with the added advantage that no parameter tuning is needed.
引用
收藏
页码：2858 / +
页数：4
相关论文
共 50 条
  • [1] Self-adaptive differential evolution
    Omran, MGH
    Salman, A
    Engelbrecht, AP
    [J]. COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 1, PROCEEDINGS, 2005, 3801 : 192 - 199
  • [2] Self-adaptive chaos differential evolution
    Guo Zhenyu
    Bo, Cheng
    Min, Ye
    Cao Binggang
    [J]. ADVANCES IN NATURAL COMPUTATION, PT 1, 2006, 4221 : 972 - 975
  • [3] Self-Adaptive Mutation in the Differential Evolution
    Pedrosa Silva, Rodrigo C.
    Lopes, Rodolfo A.
    Guimaraes, Frederico G.
    [J]. GECCO-2011: PROCEEDINGS OF THE 13TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2011, : 1939 - 1946
  • [4] Differential evolution with self-adaptive populations
    Teo, J
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2005, 3681 : 1284 - 1290
  • [5] ENTROPY DRIVEN SELF-ADAPTIVE DIFFERENTIAL EVOLUTION
    Behal, Ladislav
    Vlcek, Karel
    [J]. MENDEL 2008, 2008, : 38 - 43
  • [6] Self-adaptive Differential Evolution with Neighborhood Search
    Yang, Zhenyu
    Tang, Ke
    Yao, Xin
    [J]. 2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8, 2008, : 1110 - 1116
  • [7] An Overview on the Application of Self-Adaptive Differential Evolution
    Adnan, Sarah Hazwani
    Wang, Shir Li
    Ibrahim, Haidi
    Ng, Theam Foo
    [J]. PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTER MODELING AND SIMULATION (ICCMS 2018), 2017, : 82 - 86
  • [8] The self-adaptive Pareto Differential Evolution algorithm
    Abbass, HA
    [J]. CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 831 - 836
  • [9] Self-adaptive Differential Evolution for Community Detection
    Pizzuti, Clara
    Socievole, Annalisa
    [J]. 2019 SIXTH INTERNATIONAL CONFERENCE ON SOCIAL NETWORKS ANALYSIS, MANAGEMENT AND SECURITY (SNAMS), 2019, : 110 - 117
  • [10] Self-adaptive Genetically Programmed Differential Evolution
    Roy, Pravakar
    Islam, Md Jahidul
    Islam, Md Monirul
    [J]. 2012 7TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (ICECE), 2012,
12345