Bat algorithm: Difference between revisions

Revision as of 05:12, 30 July 2016

Revision as of 05:13, 30 July 2016

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A detailed introduction of metaheuristic algorithms including the bat algorithm is given by Yang <ref>Yang, X. S., Nature-Inspired Metaheuristic Algorithms, 2nd Edition, Luniver Press, (2010).</ref> where a demo program in Matlab/Octave is available, while a comprehensive review is carried out by Parpinelli and Lopes.<ref>{{cite journal | last1 = Parpinelli | first1 = R. S. | last2 = Lopes | first2 = H. S. | year = 2011 | title = New inspirations in swarm intelligence: a survey,Int | url = | journal = J. Bio-Inspired Computation | volume = 3 | issue = | pages = 1–16 | doi=10.1504/ijbic.2011.038700}}</ref> A further improvement is the development of an evolving bat algorithm (EBA) with better efficiency.<ref>{{cite journal | last1 = Tsai | first1 = P. W. | last2 = Pan | first2 = J. S. | last3 = Liao | first3 = B. Y. | last4 = Tsai | first4 = M. J. | last5 = Istanda | first5 = V. | year = 2012 | title = Bat algorithm inspired algorithm for solving numerical optimization problems | url = | journal = Applied Mechanics and Materials | volume = 148-149 | issue = | pages = 134–137 | doi=10.4028/www.scientific.net/amm.148-149.134}}</ref>

A Matlab demo is available at the Matlab exchange.<ref>here http://www.mathworks.com/matlabcentral/fileexchange/37582</ref>

== Implementations ==