A Genetic Algorithm with Constrained Sorting Method for Constrained Optimization Problems

被引：3
|
作者：
Huang, Zhangjun [1 ]
Wang, Chengen [1 ]
Tian, Hong [2 ]
机构：
[1] Northeastern Univ, Key Lab Proc Ind Automat, Shenyang, Peoples R China
[2] Changsha Univ Sci & Technol, Sch Energy & Thermal Power Engn, Changsha, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1 | 2009年
关键词：
algorithm; constrained optimization; constraint handling; dynamic penalty; non-dominated sorting; constrained sorting; EVOLUTIONARY ALGORITHMS; DIFFERENTIAL EVOLUTION; DESIGN;
D O I：
10.1109/ICICISYS.2009.5358031
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Engineering problems are commonly optimization problems with various constraints For solving these constrained optimization problems, an effective genetic algorithm with a constrained sorting method is proposed in this work. The constrained sorting method is based on a dynamic penalty function and a non-dominated sorting technique that is used for ranking all the feasible and infeasible solutions in the whole evolutionary population The proposed algorithm is tested on five well-known benchmark functions and three engineering problems Experimental results and comparisons with previously reported results demonstrate the effectiveness, efficiency and robustness of the present algorithm for constrained optimization problems
引用
收藏
页码：806 / +
页数：2
相关论文
共 50 条
  • [41] A new evolutionary algorithm for constrained optimization problems
    王东华
    刘占生
    Journal of Harbin Institute of Technology(New series), 2011, (02) : 8 - 12
  • [42] A new evolutionary algorithm for constrained optimization problems
    Hu, Yibo
    Wang, Yuping
    CIS: 2007 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PROCEEDINGS, 2007, : 105 - 109
  • [43] Hybrid method of chaotic genetic algorithm and boundary simulation for constrained optimization
    Transportation Management College, Dalian Maritime University, No. 1, Linghai Road, Dalian
    116026, China
    不详
    116026, China
    Int. J. Innov. Comput. Inf. Control, 3 (1059-1073):
  • [44] HYBRID METHOD OF CHAOTIC GENETIC ALGORITHM AND BOUNDARY SIMULATION FOR CONSTRAINED OPTIMIZATION
    Yang, Jie
    Gao, Hong
    Liu, Wei
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2015, 11 (03): : 1059 - 1073
  • [45] Improved Dual Algorithm for Constrained Optimization Problems
    HAN Hua1
    2. School of Science
    Wuhan University Journal of Natural Sciences, 2007, (02) : 230 - 234
  • [46] Ε-differential evolution algorithm for constrained optimization problems
    Zheng, Jian-Guo
    Wang, Xiang
    Liu, Rong-Hui
    Ruan Jian Xue Bao/Journal of Software, 2012, 23 (09): : 2374 - 2387
  • [47] A dynamical evolutionary algorithm for constrained optimization problems
    Zou, XF
    Kang, LS
    Li, YX
    CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 890 - 895
  • [48] A SUPERLINEARLY CONVERGENT ALGORITHM FOR CONSTRAINED OPTIMIZATION PROBLEMS
    MAYNE, DQ
    POLAK, E
    MATHEMATICAL PROGRAMMING STUDY, 1982, 16 (MAR): : 45 - 61
  • [49] A new macroevolutionary algorithm for constrained optimization problems
    Zhang, Jihui
    Xu, Junqin
    ADVANCES IN NATURAL COMPUTATION, PT 1, 2006, 4221 : 828 - 837
  • [50] Constrained optimization using penalty function method combined with genetic algorithm
    Knypinski, Lukasz
    Kowalski, Krzysztof
    Nowak, Lech
    COMPUTER APPLICATIONS IN ELECTRICAL ENGINEERING (ZKWE'2018), 2018, 19
12345