Parallel Implementation of Synchronous Type Artificial Bee Colony Algorithm for Global Optimization

Evolutionary algorithms often need huge running times when solving large-scale optimization problems. One of the solutions for this issue is to introduce parallelization into the algorithm. To benefit from this approach for the artificial bee colony optimization algorithm, we present a new synchrono...

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Bibliographic Details
Published in:	Journal of optimization theory and applications Vol. 155; no. 3; pp. 1095 - 1104
Main Authors:	Basturk, Alper, Akay, Rustu
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.12.2012 Springer Nature B.V
Subjects:	Algorithms Applications of Mathematics Calculus of Variations and Optimal Control; Optimization Colonies Communication Computation Engineering Evolutionary algorithms Experiments Food Foraging behavior Genetic algorithms Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Optimization algorithms Parallel processing Performance evaluation Population Running Studies Synchronous Theory of Computation Parallel computing Global optimization Parallel algorithms Artificial bee colony optimization algorithm
ISSN:	0022-3239, 1573-2878
Online Access:	Get full text
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