Problems in engineering can be formulated as numerical function optimization problems 1. Most of these problems are complex in nature with multiple peaks, high dimensions, or non-differentiability.

The goal of the multi-objective optimization algorithm is to quickly and accurately find a set of trade-off solutions. This paper develops a clustering-based competitive multi-objective particle swarm ...