Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
Gandomi, Amir Hossein, Yang, Xin-She 
ORCID: https://orcid.org/0000-0001-8231-5556 and Alavi, Amir Hossein
(2013)
Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems.
Engineering with Computers, 29
(1)
.
pp. 17-35.
ISSN 0177-0667
[Article]
(doi:10.1007/s00366-011-0241-y)
Abstract
In this study, a new metaheuristic optimization algorithm, called cuckoo search (CS), is introduced for solving structural optimization tasks. The new CS algorithm in combination with Le´vy flights is first verified using a benchmark nonlinear constrained optimization problem. For the validation against structural engineering optimization problems, CS is subsequently applied to 13 design problems reported in the specialized literature. The performance of the CS algorithm is further compared with various algorithms representative of the state of the art in the area. The optimal solutions obtained by CS are mostly far better than the best solutions obtained by the existing methods. The unique search features used in CS and the implications for future research are finally discussed in detail.
| Item Type: | Article |
|---|---|
| Additional Information: | Online first 11th July 2011 |
| Keywords (uncontrolled): | Cuckoo search; structural optimization; engineering design; metaheuristic algorithm |
| Research Areas: | A. > School of Science and Technology > Design Engineering and Mathematics |
| Item ID: | 9540 |
| Useful Links: | |
| Depositing User: | Teddy ~ |
| Date Deposited: | 16 Nov 2012 10:00 |
| Last Modified: | 10 Jun 2019 13:07 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/9540 |
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