Multi-objective Optimization Evolutionary Algorithm Based on Point-to-Weight Method

Selecting points using min-max strategy can guarantee uniformity of Pareto. But shortcomings are missing effective solutions and poor solutions being selected. By the analysis of choosing points with the min-max strategy and reasonable fitness metric, we propose a new evolutionary method choosing weights on points (point-to-weight). A large number of multi-objective optimization functions have been tested by our algorithm. The graphics and IGD metric results show that our algorithm can effectively solves the complex multi-objective optimization problems.