A new multi-region modified wind driven optimization algorithm with collision avoidance for dynamic environments

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Abstract

This paper describes a new approach to deal with dynamic optimization that uses a multi-population. Its main features include the use of a modified wind driven optimization algorithm that aims to foster impact of pressure on velocities of particles. Moreover, a concept of multi-region inspired from meteorology has been introduced along with a new collision avoidance technique to maintain good diversity while preventing collision between subpopulations. The method has been assessed using Moving Peaks Benchmark and compared to state of the art methods. Preliminary results are very encouraging and show viability of the method.

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Boulesnane, A., & Meshoul, S. (2014). A new multi-region modified wind driven optimization algorithm with collision avoidance for dynamic environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8795, pp. 412–421). Springer Verlag. https://doi.org/10.1007/978-3-319-11897-0_47

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