Introduction to Mathematical Optimization: From Linear Programming to Metaheuristics
Introduction to Mathematical Optimization: From Linear Programming to Metaheuristics
Nature-Inspired Metaheuristic Algorithms
Nature-Inspired Metaheuristic Algorithms
Integral Particle Swarm Optimization with Dispersed Accelerator Information
Fundamenta Informaticae - Swarm Intelligence
New inspirations in swarm intelligence: a survey
International Journal of Bio-Inspired Computation
Review of meta-heuristics and generalised evolutionary walk algorithm
International Journal of Bio-Inspired Computation
Bat algorithm for multi-objective optimisation
International Journal of Bio-Inspired Computation
Computers & Mathematics with Applications
International Journal of Bio-Inspired Computation
A Metaheuristic Bat-Inspired Algorithm for Full Body Human Pose Estimation
CRV '12 Proceedings of the 2012 Ninth Conference on Computer and Robot Vision
BBA: A Binary Bat Algorithm for Feature Selection
SIBGRAPI '12 Proceedings of the 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images
Swarm Intelligence and Bio-Inspired Computation: Theory and Applications
Swarm Intelligence and Bio-Inspired Computation: Theory and Applications
Bio-inspired computation: success and challenges of IJBIC
International Journal of Bio-Inspired Computation
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Bat algorithm BA is a bio-inspired algorithm developed by Xin-She Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the last three years. This paper provides a timely review of the bat algorithm and its new variants. A wide range of diverse applications and case studies are also reviewed and summarised briefly here. In addition, we also discuss the essence of an algorithm and the links between algorithms and self-organisation. Further research topics are also discussed.