Bat algorithm for constrained optimization tasks

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...

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Veröffentlicht in:	Neural computing & applications Jg. 22; H. 6; S. 1239 - 1255
Hauptverfasser:	Gandomi, Amir Hossein, Yang, Xin-She, Alavi, Amir Hossein, Talatahari, Siamak
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer-Verlag 01.05.2013 Springer
Schlagworte:	Applied sciences Artificial Intelligence Calculus of variations and optimal control Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer science; control theory; systems Data Mining and Knowledge Discovery Exact sciences and technology Image Processing and Computer Vision Learning and adaptive systems Mathematical analysis Mathematics Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Original Article Probability and Statistics in Computer Science Sciences and techniques of general use Constraint optimization Metaheuristic algorithm Bat algorithm Engineering Neural computation Algorithm performance Optimal solution Optimization method Benchmarks Neural network Algorithm Constrained optimization
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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