Fission-and-recombination particle swarm optimizers for search of multiple solutions

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Abstract

This paper presents the fission-and-recombination particle swarm optimizer (FRPSO) and its application to search of periodic points of a nonlinear dynamical system. The search problem is translated into a multi-solution problem evaluated in a multi-objective problem. The FRPSO is based on the ring topology. The FRPSO is effective to escape from trap of partial/local solutions and to find all the solutions. Performing basic numerical experiments, the algorithm efficiency is investigated.

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Sato, T., & Saito, T. (2014). Fission-and-recombination particle swarm optimizers for search of multiple solutions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8835, pp. 254–262). Springer Verlag. https://doi.org/10.1007/978-3-319-12640-1_31

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