A particle swarm inspired multi-elitist artificial bee colony algorithm for real-parameter optimization

The Artificial Bee Colony (ABC) algorithm is one of the most recent swarm intelligence based algorithms which simulates the foraging behavior of honey bee colonies. In this work, a particle swarm inspired multi-elitist ABC algorithm named PS-MEABC is proposed and applied for real-parameter optimizat...

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Veröffentlicht in:	Computational optimization and applications 2014-03, Vol.57 (2), p.493-516
Hauptverfasser:	Xiang, Yi, Peng, Yuming, Zhong, Yubin, Chen, Zhenyu, Lu, Xuwen, Zhong, Xuejun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Archives & records Bees Computer science Convex and Discrete Geometry Elitism Errors Foraging behavior Genetic algorithms Management Science Mathematical models Mathematics Mathematics and Statistics Operations Research Operations Research/Decision Theory Optimization Optimization algorithms Rank tests Running Statistics Studies Success Swarm intelligence Traveling salesman problem
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