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Design optimization of truss structures using cuckoo search algorithm
Author(s) -
Gandomi Amir Hossein,
Talatahari Siamak,
Yang XinShe,
Deb Suash
Publication year - 2012
Publication title -
the structural design of tall and special buildings
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 43
eISSN - 1541-7808
pISSN - 1541-7794
DOI - 10.1002/tal.1033
Subject(s) - cuckoo search , truss , metaheuristic , mathematical optimization , computer science , range (aeronautics) , optimization algorithm , algorithm , benchmark (surveying) , mathematics , engineering , particle swarm optimization , structural engineering , geodesy , geography , aerospace engineering
SUMMARY 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 © 2012 John Wiley & Sons, Ltd.