Multi-population SOS algorithm for constrained optimisation problems applied to adaptive PID controller optimisation
by Leonardo Ramos Rodrigues
International Journal of Bio-Inspired Computation (IJBIC), Vol. 22, No. 4, 2023

Abstract: Bio-inspired algorithms have become a popular tool to solve a wide range of optimisation problems with different complexity levels. Several bio-inspired techniques have been proposed in the last decades. However, the development of new bio-inspired metaheuristics and improved versions for the existing ones is still a relevant research topic. The symbiotic organisms search (SOS) is a bio-inspired, population-based metaheuristic that replicates symbiotic relationships observed in nature. It has been successfully used in a wide range of applications. This paper presents a multi-population version of the SOS algorithm, denoted by MPSOS. In the proposed algorithm, different subpopulations are assigned to different regions of the search space to maintain population diversity during the execution of the algorithm to improve its capability of escaping from local optima. The performance of the proposed algorithm is evaluated in the solution of an adaptive PID controller design optimisation problem. The results observed show that MPSOS presented a competitive and effective performance.

Online publication date: Tue, 16-Jan-2024

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