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Bat algorithm for constrained optimization tasks
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Journal Article
Bat algorithm for constrained optimization tasks
2013
Overview
In this study, we use a new metaheuristic optimization algorithm, called bat algorithm (BA), to solve constraint optimization tasks. BA is verified using several classical benchmark constraint problems. For further validation, BA is applied to three benchmark constraint engineering problems reported in the specialized literature. The performance of the bat algorithm is compared with various existing algorithms. The optimal solutions obtained by BA are found to be better than the best solutions provided by the existing methods. Finally, the unique search features used in BA are analyzed, and their implications for future research are discussed in detail.
Publisher
Springer-Verlag,Springer
Subject
/ Calculus of variations and optimal control
/ Computational Biology/Bioinformatics
/ Computational Science and Engineering
/ Computer science; control theory; systems
/ Data Mining and Knowledge Discovery
/ Exact sciences and technology
/ Image Processing and Computer Vision
/ Learning and adaptive systems
/ Numerical analysis. Scientific computation
/ Numerical methods in mathematical programming, optimization and calculus of variations
/ Numerical methods in optimization and calculus of variations
