A hybrid ant colony optimization approach based local search scheme for multiobjective design optimizations

This paper presents an optimal design of a linear motor considering two objective functions namely, maximum force and minimum saturation and design of air-cored solenoid with maximum inductance and minimum volume as the objective functions. The proposed approach differs from the traditional ones in its design of a multipheromone ant colony optimization (MACO) as well as the inclusion of steady state genetic algorithm (SSGA) and local search approach. Detailed numerical results on different multiobjective design applications are reported. The results obtained by our implementation substantiate the success of this new approach.