Cricket chirping algorithm for multi-objective engineering design optimization

Abstract

Most of the engineering optimization problems are multi-objective, which is very difficult and time-consuming to find the optimal solution. Nowadays nature-inspired techniques are becoming more powerful for their effective result in terms of time or accuracy or cost. Cricket Chirping Algorithm (CCA) is a nature-inspired meta-heuristics algorithm to solve optimization problems that is developed based on the chirping behavior of cricket. In this work, CCA is formulated to solve the multi-objective design optimization problems in the engineering field. The proposed method is first validated in some multi-objective test functions and applied to solve the disc brake design problem and welded beam design problem. The result of the experimental analysis is compared with other meta-heuristics like Bat Algorithm (BA) and Particle Swarm Optimization (PSO).