Lamarckian clonal selection algorithm based function optimization

被引：0
|
作者：
He, WH [1 ]
Du, HF
Jiao, LC
Li, J
机构：
[1] Xidian Univ, Inst Intelligent Informat Proc, Xian 710071, Peoples R China
[2] Xidian Univ, Natl Key Lab Radar Signal Proc, Xian 710071, Peoples R China
来源：
COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS | 2005年 / 3512卷
关键词：
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：
Based on Lamarckism and Immune Clonal Selection Theory, Lamarckian Clonal Selection Algorithm (LCSA) is proposed in this paper. In the novel algorithm, the idea that Lamarckian evolution described how organism can evolve through learning, namely the point of "Gain and Convey" is applied, then this kind of learning mechanism is introduced into Standard Clonal Selection Algorithm (SCSA). Through the experimental results of optimizing complex multimodal functions, compared with SCSA and the relevant evolutionary algorithm, LCSA is more robust and has better convergence.
引用
收藏
页码：91 / 98
页数：8
相关论文
共 50 条
  • [21] Clonal selection algorithm in power filter optimization
    Wang, X
    SMCIA/05: PROCEEDINGS OF THE 2005 IEEE MID-SUMMER WORKSHOP ON SOFT COMPUTING IN INDUSTRIAL APPLICATIONS, 2005, : 122 - 127
  • [22] Clonal selection algorithm for dynamic multiobjective optimization
    Shang, RH
    Jiao, LC
    Gong, MG
    Lu, B
    COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 1, PROCEEDINGS, 2005, 3801 : 846 - 851
  • [23] A Distributed Clonal Selection Algorithm for Optimization in Electromagnetics
    Batista, Lucas de S.
    Guimaraes, Frederico G.
    Ramirez, Jaime A.
    IEEE TRANSACTIONS ON MAGNETICS, 2009, 45 (03) : 1598 - 1601
  • [24] Baldwinian learning in clonal selection algorithm for optimization
    Gong, Maoguo
    Jiao, Licheng
    Zhang, Lining
    INFORMATION SCIENCES, 2010, 180 (08) : 1218 - 1236
  • [25] Mathematical Optimization Algorithm for Minimizing the Cost Function of GHG Emission in AS/RS Using Positive Selection Based Clonal Selection Principle
    Mahalakshmi
    Murugesan, R.
    PROCEEDINGS OF THE 10TH NATIONAL CONFERENCE ON MATHEMATICAL TECHNIQUES AND ITS APPLICATIONS (NCMTA 18), 2018, 1000
  • [26] A robust gene clustering algorithm based on clonal selection in multiobjective optimization framework
    Zareizadeh, Zahra
    Helfroush, Mohammad Sadegh
    Rahideh, Akbar
    Kazemi, Kamran
    EXPERT SYSTEMS WITH APPLICATIONS, 2018, 113 : 301 - 314
  • [27] A hybrid optimization algorithm based on clonal selection principle and particle swarm intelligence
    Wang, Qiaoling
    Wang, Changhong
    Gao, X. Z.
    ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2, 2006, : 975 - +
  • [28] Global optimization based on hybrid clonal selection genetic algorithm for task scheduling
    Xue, Xiaofeng
    Gu, Yuesheng
    Journal of Computational Information Systems, 2010, 6 (01): : 253 - 261
  • [29] Degeneration Recognizing Clonal Selection Algorithm for Multimodal Optimization
    Xu, Nan
    Ding, Yongsheng
    Ren, Lihong
    Hao, Kuangrong
    IEEE TRANSACTIONS ON CYBERNETICS, 2018, 48 (03) : 848 - 861
  • [30] A dynamic clonal selection algorithm for project optimization scheduling
    Pan, Xiaoying
    Liu, Fang
    Jiao, Licheng
    SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS, 2006, 4247 : 821 - 828
12345