Adaptive Genetic Algorithm Based on Density Distribution of Population

被引：0
|
作者：
Chen, Ni [1 ,2 ,3 ]
Zhang, Jun [1 ,2 ,3 ]
Liu, Ou [4 ]
机构：
[1] Sun Yat Sen Univ, Dept Comp Sci, Guangzhou, Guangdong, Peoples R China
[2] Minist Educ, Key Lab Digital Life, Beijing, Peoples R China
[3] Educ Dept Guangdong Prov, Key Lab Software Technol, Guangzhou, Guangdong, Peoples R China
[4] Hong Kong Polytech Univ, Hong Kong, Hong Kong, Peoples R China
来源：
PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12) | 2012年
关键词：
Evolutionary algorithms; genetic algorithm; parameter adaptation; EVOLUTIONARY ALGORITHMS; DIFFERENTIAL EVOLUTION; PROBABILITIES; CROSSOVER; MUTATION;
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：
The control parameters in evolutionary algorithms (EAs) have significant effects on the behavior and performance of the algorithm. Most existing parameter control mechanisms are based on either individual fitness or positional distribution of population. This paper proposes a parameter adaptation strategy which aims at evaluating the density distribution of population as well as both the fitness values comprehensively, and adapting the parameters accordingly. The proposed method modifies the values of px and pm based on the relative cluster density and the relative sizes of clusters containing the best and the worst individuals.
引用
收藏
页码：1543 / 1544
页数：2
相关论文
共 50 条
  • [1] An Adaptive Genetic Algorithm based on Population Diversity strategy
    Lin, Chen
    [J]. THIRD INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING, 2009, : 93 - 96
  • [2] Genetic algorithm with adaptive population
    Chen, L
    Xu, XH
    Chen, YX
    [J]. 8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS: IMAGE, ACOUSTIC, SIGNAL PROCESSING AND OPTICAL SYSTEMS, TECHNOLOGIES AND APPLICATIONS, 2004, : 357 - 360
  • [3] An adaptive multitasking optimization algorithm based on population distribution
    Li, Xiaoyu
    Wang, Lei
    Jiang, Qiaoyong
    Xu, Qingzheng
    [J]. Mathematical Biosciences and Engineering, 2024, 21 (02) : 2432 - 2457
  • [4] APOGA: An Adaptive Population Pool Size Based Genetic Algorithm
    Rajakumar, B. R.
    George, Aloysius
    [J]. 2013 AASRI CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL, 2013, 4 : 288 - 296
  • [5] Genetic algorithm-based video segmentation with adaptive population size
    Park, SH
    Kim, EY
    Cho, BJ
    [J]. PATTERN RECOGNITION, PROCEEDINGS, 2003, 2781 : 426 - 433
  • [6] RETRACTED: Adaptive Genetic Algorithm Based on Population Diversity (Retracted Article)
    Liu Xinping
    Liu Ying
    [J]. 2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 2, PROCEEDINGS, 2009, : 510 - +
  • [7] Genetic Algorithm - Adaptive Crossover Based on Solution Distribution in Search Space
    Maniu, Rares
    Dumitru, Laurentiu Alexandru
    [J]. 2017 INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT (OPTIM) & 2017 INTL AEGEAN CONFERENCE ON ELECTRICAL MACHINES AND POWER ELECTRONICS (ACEMP), 2017, : 899 - 904
  • [8] Load Distribution of Thermal Power Plant Based on Adaptive Genetic Algorithm
    Meng Xin
    Gao Junru
    Li Lei
    [J]. 2009 INTERNATIONAL FORUM ON COMPUTER SCIENCE-TECHNOLOGY AND APPLICATIONS, VOL 2, PROCEEDINGS, 2009, : 15 - 18
  • [9] Distribution Network Fault Restoration Based On Improved Adaptive Genetic Algorithm
    Sheng Siqing
    Ma Zhigang
    Wu Jing
    Gao Nan
    [J]. ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS, 2009, : 318 - 321
  • [10] Adaptive variable space differential evolution algorithm based on population distribution
    Zhu, Jun
    Yan, Xuefeng
    [J]. MEMETIC COMPUTING, 2013, 5 (01) : 49 - 64
12345