MOX: A novel global optimization algorithm inspired from Oviposition site selection and egg hatching inhibition in mosquitoes

Authors:
Fayyaz ul Amir Afsar Minhas;Muhammad Arif
Affiliations:
Department of Computer & Information Sciences, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore, Islamabad, Pakistan;Department of Computer Science & Engineering, Air University, E-7, Islamabad, Pakistan
Venue:
Applied Soft Computing
Year:
2011

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Abstract

In this paper, we describe a novel computational intelligence approach to numerical optimization for finding the global optima of a multidimensional function based upon biological inspirations drawn from the highly selective behavior of female mosquitoes in choosing a habitat to lay their eggs and the inhibition of those eggs to hatch into the next stage. Results of the proposed approach over a number of benchmark problems are also presented. Comparison of those results with existing methods in the literature clearly indicates the efficacy of the proposed scheme in maintaining a high success rate while reducing the number of function evaluations required to reach a goal value for an optimization problem.