Artificial Bee Colony (ABC) optimization algorithm for solving constrained optimization problems

被引:904
作者
Karaboga, Dervis
Basturk, Bahriye
机构
来源
FOUNDATIONS OF FUZZY LOGIC AND SOFT COMPUTING, PROCEEDINGS | 2007年 / 4529卷
关键词
D O I
10.1007/978-3-540-72950-1_77
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrained optimization problems. The ABC algorithm has been firstly proposed for unconstrained optimization problems and showed that it has superior performance on these kind of problems. In this paper, the ABC algorithm has been extended for solving constrained optimization problems and applied to a set of constrained problems.
引用
收藏
页码:789 / 798
页数:10
相关论文
共 16 条
  • [1] BASTURK B, 2006, ALGORITHM NUMERIC FU
  • [2] Corne David., 1999, NEW IDEAS OPTIMIZATI
  • [3] Floudas C., 1987, LNCS, V455
  • [4] Goldberg DE, 1991, FDN GENETIC ALGORITH, P69, DOI DOI 10.1016/B978-0-08-050684-5.50008-2
  • [5] HEDAR AR, DERIVATIVE FREE FILT
  • [6] Himmelblau D.M, 1972, APPL NONLINEAR PROGR
  • [7] HU X, 2002, P 6 WORLD MULT SYST
  • [8] Engineering optimization with particle swarm
    Hu, XH
    Eberhart, RC
    Shi, YH
    [J]. PROCEEDINGS OF THE 2003 IEEE SWARM INTELLIGENCE SYMPOSIUM (SIS 03), 2003, : 53 - 57
  • [9] Joines J. A., 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence (Cat. No.94TH0650-2), P579, DOI 10.1109/ICEC.1994.349995
  • [10] Karaboga D., 2005, IDEA BASED HONEY BEE