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Neural Computing and Applications
Published in: Neural Computing and Applications 7-8/2014

01-12-2014 | Original Article

A new stochastic search algorithm bundled honeybee mating for solving optimization problems

Authors: Oveis Abedinia, Morteza Dadash Naslian, Masoud Bekravi

Published in: Neural Computing and Applications | Issue 7-8/2014

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Abstract

This paper presents a new stochastic search technique to solve optimization problems. The new stochastic search of parallel vector evaluated honeybee mating optimization (VEHBMO) technique mimics the honeybee’s mating. The effectiveness of the proposed technique is compared with other stochastic optimization methods through standard benchmark functions. Also, the proposed VEHBMO is applied over real engineering problems of economic load dispatch and environmental/economic power dispatch problems. Obtained results confirm the validity of the proposed stochastic search technique.
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Metadata
Title
A new stochastic search algorithm bundled honeybee mating for solving optimization problems
Authors
Oveis Abedinia
Morteza Dadash Naslian
Masoud Bekravi
Publication date
01-12-2014
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 7-8/2014
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-014-1682-1

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