Vibrating Particles System Algorithm performance in solving Constrained Optimization Problem

Metaheuristic algorithms are a collection of sophisticated techniques that mimic natural phenomena and the rational behavior of socially intelligent living organisms like insects and animals. These techniques are employed in the fields of computer science and engineering to address various optimization problems. In this paper, the vibrating particles system(VPS) which is a recently developed metaheuristic algorithm. Generally, an under-damped single degree of freedom (SDOF) free vibration oscillates and slowly comes into a resting or equilibrium position, and this is the inspiration idea of VPS. The tension/compression spring design problem, which is a well-known constrained based optimization problem in engineering fields have been used to evaluate VPS algorithm. The experimental result section shows the result of solving the mentioned problem by VPS with various value for variables.

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