< back to main site


Bat algorithm: a novel approach for global engineering optimization.

Yang, X-S; Gandomi, A H* (2012) Bat algorithm: a novel approach for global engineering optimization. Eng. Comput., 29 (5). pp. 464-483.

Full text not available from this repository.


Purpose – Nature-inspired algorithms are among the most powerful algorithms for optimization. The purpose of this paper is to introduce a new nature-inspired metaheuristic optimization algorithm, called bat algorithm (BA), for solving engineering optimization tasks.

Design/methodology/approach – The proposed BA is based on the echolocation behavior of bats. After a detailed formulation and explanation of its implementation, BA is verified using eight nonlinear engineering optimization problems reported in the specialized literature.

Findings – BA has been carefully implemented and carried out optimization for eight well-known optimization tasks; then a comparison has been made between the proposed algorithm and other existing algorithms.

Originality/value – The optimal solutions obtained by the proposed algorithm are better than the best solutions obtained by the existing methods. The unique search features used in BA are analyzed, and their implications for future research are also discussed in detail

Item Type: Article
Subjects: Mathematics and Scientific Computing
Mathematics and Scientific Computing > Numerical Computation
Identification number/DOI: 10.1108/02644401211235834
Last Modified: 02 Feb 2018 13:14
URI: http://eprintspublications.npl.co.uk/id/eprint/5525

Actions (login required)

View Item View Item