A Simple Pareto Adaptive ε-Domination Differential Evolution Algorithm for Multi-Objective Optimization
Yan Jingfeng, Meilian Li, Xu Zhijie, Xu Jin · The Open Automation and Control Systems Journal · 2015
The two purposes of solving the multi-objective optimization problems are to get solutions close to the true Pareto front as much as possible and to obtain promising diversity.To meet these two demands, a new method is proposed in this paper, which has these characteristics: 1) it adopts the orthogonal design method with quantization technology to generate initial population whose individuals are scattered uniformly over the target search space.2) it is based on an adaptive ε concept to obtain a good distribution along the true Pareto-optimal solutions.Experiments on five benchmark problems with different features indicate that the proposed method works well not only in diversity, but also in convergence when compared to other evolutionary algorithms.