Design optimization of truss structures using cuckoo search algorithm

被引:118
|
作者
Gandomi, Amir Hossein [1 ]
Talatahari, Siamak [2 ]
Yang, Xin-She [3 ]
Deb, Suash [4 ]
机构
[1] Islamic Azad Univ, Cent Tehran Branch, Young Researchers Club, Tehran, Iran
[2] Univ Tabriz, Marand Fac Engn, Tabriz, Iran
[3] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England
[4] CV Raman Coll Engn, Dept Comp Sci & Engn, Bhubaneswar 752054, Orissa, India
来源
关键词
cuckoo search; steel truss structures; optimum design; metaheuristic algorithm; LEVY FLIGHTS; PERFORMANCE; DISCRETE; STRATEGY;
D O I
10.1002/tal.1033
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A new metaheuristic optimization algorithm is developed to solve truss optimization problems. The new algorithm, called cuckoo search (CS), is examined by solving five truss design optimization problems with increasing numbers of design variables and complexity in constraints. The performance of the CS algorithm is further compared with various classical and advanced algorithms, selected from a wide range of the state-of-the-art algorithms in the area. The results identify that the final solutions obtained by the CS are superior compared with the best solutions obtained by the other algorithms. Finally, the unique search features used in the CS and the implications for future researches are discussed in detail. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:1330 / 1349
页数:20
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