Cuckoo Optimization Algorithm

被引:891
作者
Rajabioun, Ramin [1 ]
机构
[1] Univ Tehran, Fac Engn, Sch Elect & Comp Engn, CIPCE, Tehran, Iran
关键词
Cuckoo Optimization Algorithm (COA); Evolutionary algorithms; Nonlinear optimization; ANT COLONY OPTIMIZATION; CONTROLLERS;
D O I
10.1016/j.asoc.2011.05.008
中图分类号
TP18 [人工智能理论];
学科分类号
140502 [人工智能];
摘要
In this paper a novel evolutionary algorithm, suitable for continuous nonlinear optimization problems, is introduced. This optimization algorithm is inspired by the life of a bird family, called Cuckoo. Special lifestyle of these birds and their characteristics in egg laying and breeding has been the basic motivation for development of this new evolutionary optimization algorithm. Similar to other evolutionary methods, Cuckoo Optimization Algorithm (COA) starts with an initial population. The cuckoo population, in different societies, is in two types: mature cuckoos and eggs. The effort to survive among cuckoos constitutes the basis of Cuckoo Optimization Algorithm. During the survival competition some of the cuckoos or their eggs, demise. The survived cuckoo societies immigrate to a better environment and start reproducing and laying eggs. Cuckoos' survival effort hopefully converges to a state that there is only one cuckoo society, all with the same profit values. Application of the proposed algorithm to some benchmark functions and a real problem has proven its capability to deal with difficult optimization problems. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:5508 / 5518
页数:11
相关论文
共 29 条
[1]
GEM: A novel evolutionary optimization method with improved neighborhood search [J].
Ahrari, A. ;
Shariat-Panahi, M. ;
Atai, A. A. .
APPLIED MATHEMATICS AND COMPUTATION, 2009, 210 (02) :376-386
[2]
Simulated annealing for maximum A Posteriori parameter estimation of hidden Markov models [J].
Andrieu, C ;
Doucet, A .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2000, 46 (03) :994-1004
[3]
[Anonymous], 2008, INTRO GENETIC ALGORI
[4]
[Anonymous], LIFE BIRDS PARENTHOO
[5]
[Anonymous], 2004, Wiley InterScience electronic collection.
[6]
PID control of MIMO process based on rank niching genetic algorithm [J].
Arruda, L. V. R. ;
Swiech, M. C. S. ;
Delgado, M. R. B. ;
Neves-, F., Jr. .
APPLIED INTELLIGENCE, 2008, 29 (03) :290-305
[7]
Balaci HH, 2004, J APPL MATHS COMP SC, V14, P411
[8]
Ant colony optimization for the traveling purchaser problem [J].
Bontoux, Boris ;
Feillet, Dorninique .
COMPUTERS & OPERATIONS RESEARCH, 2008, 35 (02) :628-637
[9]
Campbell N.A., 1996, BIOLOGY, P1179
[10]
Reduced order optimal control using genetic algorithms [J].
Chellaboina, V ;
Ranga, MK .
ACC: PROCEEDINGS OF THE 2005 AMERICAN CONTROL CONFERENCE, VOLS 1-7, 2005, :1407-1412