A genetic algorithm for solving multi-constrained function optimization problems based on KS function

被引：12
|
作者：
Xiao, Jianhua [1 ]
Xu, Jin [1 ]
Shao, Zehui [1 ]
Jiang, Congfeng [2 ]
Pan, Linqiang [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Peoples R China
来源：
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS | 2007年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/CEC.2007.4425060
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new genetic algorithm for solving multi-constrained optimization problems based on KS function is proposed. Firstly, utilizing the agglomeration features of KS function, all constraints of optimization problems are agglomerated to only one constraint. Then, we use genetic aligorithm to solve the optimization problem after the compression of constraints. Finally, the simulation results on benchmark functions show the efficiency of our algorithm.
引用
收藏
页码：4497 / +
页数：3
相关论文
共 50 条
  • [31] Multi-constrained anycast routing based on ant algorithm
    Yu, JP
    Lin, YP
    Lin, M
    Yi, YP
    CHINESE JOURNAL OF ELECTRONICS, 2006, 15 (01): : 133 - 137
  • [32] A Robust GA-based QoS Routing Algorithm for Solving Multi-constrained Path Problem
    Yussof, Salman
    See, Ong Hang
    JOURNAL OF COMPUTERS, 2010, 5 (09) : 1322 - 1334
  • [33] Random keys genetic algorithm with adaptive penalty function for optimization of constrained facility layout problems
    Norman, BA
    Smith, AE
    PROCEEDINGS OF 1997 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (ICEC '97), 1997, : 407 - 411
  • [34] A new algorithm for solving function optimization problems with inequality constraints
    Guo, Tao
    Kang, Li-Shan
    Li, Yan
    Wuhan Daxue Xuebao/Journal of Wuhan University, 45 (05):
  • [35] Parallel Genetic Algorithm with Social Interaction for solving Constrained Global Optimization Problems
    Pereira, Rodrigo Lisboa
    Mollinetti, Marco A. Florenzano
    Yasojima, Edson Koiti
    Teixeira, Otavio Noura
    de Oliveira, Rodrigo M. S.
    Limao de Oliveira, Roberto C.
    PROCEEDINGS OF THE 2015 SEVENTH INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2015), 2015, : 351 - 356
  • [36] Genetic algorithm and universal generating function technique for solving problems of power system reliability optimization
    Levitin, G
    Lisnianski, A
    Ben Haim, H
    Elmakis, D
    DRPT2000: INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, PROCEEDINGS, 2000, : 582 - 586
  • [37] An improved algorithm for multi-constrained routing
    Liu, Yongguang
    Ye, Wu
    Feng, Suili
    2006 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, VOLS 1 AND 2, PROCEEDINGS, 2006, : 120 - +
  • [38] Solving Nonlinear Constrained Optimization Problems by Invasive Weed Optimization using Penalty Function
    Naidu, Y. Ramu
    Ojha, A. K.
    SOUVENIR OF THE 2014 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2014, : 1326 - 1330
  • [39] Solving delay constrained multicast routing problem with genetic algorithm based on accuracy penalty function
    Guo, W.
    Xi, Y.G.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2001, 29 (04): : 506 - 509
  • [40] Water cycle algorithm for solving constrained multi-objective optimization problems
    Sadollah, Ali
    Eskandar, Hadi
    Kim, Joong Hoon
    APPLIED SOFT COMPUTING, 2015, 27 : 279 - 298
12345