Bat algorithm: a novel approach for global engineering optimization
Full text is not in this repository.
Official URL: http://dx.doi.org/10.1108/02644401211235834
This item is available in the Library Catalogue
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.
|Keywords (uncontrolled):||Bat algorithm, Engineering optimization, Iterative methods, Metaheuristic algorithm, Optimization techniques, Programming and algorithm theory|
|Research Areas:||A. Middlesex University Schools and Centres > School of Science and Technology > Design Engineering and Mathematics|
|Deposited On:||16 Nov 2012 09:37|
|Last Modified:||04 Dec 2014 17:06|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year