Improved Cuckoo Search (ICS) algorthm for constrained optimization problems

被引：18
|
作者：
Bulatovic, Radovan R. [1 ]
GoranBoskovic [1 ]
Savkovic, Mile M. [1 ]
Gasic, Milomir M. [1 ]
机构：
[1] Univ Kragujevac, Fac Mech & Civil Engn Kraljevo, Kraljevo 36000, Serbia
来源：
LATIN AMERICAN JOURNAL OF SOLIDS AND STRUCTURES | 2014年 / 11卷 / 08期
关键词：
Improved Cuckoo Search algorithm; engineering; global optimization; dynamic change of parameters; ALGORITHM;
D O I：
10.1590/S1679-78252014000800004
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Constrained optimization is very important issue in engineering design. The problem of constrained optimization contains the objective function with linear and nonlinear constraint equations. In this paper the Improved Cuckoo Search (ICS) algorithm has been applied for solving problems of constrained engineering optimization, which gives better solutions than the standard CS algorithm and the other optimization algorithms used in solving engineering problems from the literature. In the proposed ICS algorithm, dynamic change of parameters of probability and step size is introduced, which are constant in the standard algorithm.
引用
收藏
页码：1349 / 1362
页数：14
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