An Efficient Multiobjective Optimizer Based on Genetic Algorithm and Approximation Technique for Electromagnetic Designs

In order to use the information gathered from all non-dominated solutions of an optimizer and to guide the search toward more and better Pareto solutions, this paper proposes an efficient and robust vector optimal algorithm that integrates approximation techniques into an improved genetic algorithm. Numerical results are reported to validate the proposed work