ORCID Profile
0000-0001-8231-5556
Current Organisation
University of Oxford
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Publisher: Elsevier BV
Date: 03-2012
Publisher: American Geophysical Union (AGU)
Date: 2000
DOI: 10.1029/1999GL010348
Publisher: Springer Science and Business Media LLC
Date: 12-12-2012
Publisher: Springer Science and Business Media LLC
Date: 11-01-2022
Publisher: Elsevier BV
Date: 03-2014
Publisher: Elsevier BV
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 29-07-2011
Publisher: Elsevier
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 27-12-2013
Publisher: Wiley
Date: 25-06-2012
DOI: 10.1002/TAL.1033
Publisher: Elsevier BV
Date: 2012
Publisher: Emerald
Date: 13-07-2012
DOI: 10.1108/02644401211235834
Abstract: 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. 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. 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. 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.
Publisher: Informa UK Limited
Date: 06-2013
Publisher: Springer Science and Business Media LLC
Date: 20-07-2012
Publisher: Springer Science and Business Media LLC
Date: 12-07-2012
Publisher: Elsevier BV
Date: 12-2011
Publisher: Elsevier BV
Date: 02-2013
Publisher: Springer Berlin Heidelberg
Date: 2013
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Xin-She Yang.