Introduction - If you have any usage issues, please Google them yourself
In order to effectively detect the multi-objective optimization evolutionary algorithm performance, from the three aspects of multi-objective optimization test problems of design, that constraint, the uniformity of the optimal solution, Pareto optimal front approximation algorithm of the difficulty of algorithm using NSGA-Ⅱ test questions on these simulations, and obtained the optimal solution algorithm visualization. The results show that the problem can be effectively tested in the above-mentioned three aspects of detection algorithm performance.