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The Scientific World Journal
Volume 2013, Article ID 370172, 11 pages
Research Article

An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization

1Department of Computer Programming, Karamanoglu Mehmetbey University, Karaman, Turkey
2Computer Engineering Department, Selcuk University, Konya, Turkey

Received 5 May 2013; Accepted 11 June 2013

Academic Editors: P. Agarwal, V. Bhatnagar, and Y. Zhang

Copyright © 2013 Yuksel Celik and Erkan Ulker. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Marriage in honey bees optimization (MBO) is a metaheuristic optimization algorithm developed by inspiration of the mating and fertilization process of honey bees and is a kind of swarm intelligence optimizations. In this study we propose improved marriage in honey bees optimization (IMBO) by adding Levy flight algorithm for queen mating flight and neighboring for worker drone improving. The IMBO algorithm’s performance and its success are tested on the well-known six unconstrained test functions and compared with other metaheuristic optimization algorithms.