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Algorithms 2015, 8(2), 336-365; doi:10.3390/a8020336

MAKHA—A New Hybrid Swarm Intelligence Global Optimization Algorithm

1
Department of Chemical Engineering, Faculty of Engineering, Cairo University, Giza 12613, Egypt
2
Department of Petroleum and Energy Engineering, American University in Cairo, New Cairo 11835, Egypt
3
Department of Chemical Engineering, Aguascalientes Institute of Technology, Aguascalientes 20256, Mexico
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: George Karakostas
Received: 2 April 2015 / Revised: 1 June 2015 / Accepted: 3 June 2015 / Published: 19 June 2015
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Abstract

The search for efficient and reliable bio-inspired optimization methods continues to be an active topic of research due to the wide application of the developed methods. In this study, we developed a reliable and efficient optimization method via the hybridization of two bio-inspired swarm intelligence optimization algorithms, namely, the Monkey Algorithm (MA) and the Krill Herd Algorithm (KHA). The hybridization made use of the efficient steps in each of the two original algorithms and provided a better balance between the exploration/diversification steps and the exploitation/intensification steps. The new hybrid algorithm, MAKHA, was rigorously tested with 27 benchmark problems and its results were compared with the results of the two original algorithms. MAKHA proved to be considerably more reliable and more efficient in tested problems. View Full-Text
Keywords: global optimization; nature-inspired methods; monkey algorithm; krill herd algorithm; hybridization global optimization; nature-inspired methods; monkey algorithm; krill herd algorithm; hybridization
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. (CC BY 4.0).

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MDPI and ACS Style

Khalil, A.M.; Fateen, S.-E.K.; Bonilla-Petriciolet, A. MAKHA—A New Hybrid Swarm Intelligence Global Optimization Algorithm. Algorithms 2015, 8, 336-365.

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