A Comparison of Performance between Search Method for Acquisition of Various Multiple Satisfied Solutions and Island Model

Abstract

In the application of Genetic Algorithm (GA) to real problems, acquiring multiple satisfied solutions which satisfy a certain conditions is often required. In addition, to help design choices, satisfied solutions are needed to be different design variable patterns one another. In this paper, a method for acquiring multiple satisfied solutions is proposed. To investigate the applicability of the proposed method to real problems, the proposed method is applied to a many constrained two-objective optimization problem, and compered with Island model which is the representative conventional method maintaining the diversity of design variables.