An Estimation of Distribution Algorithm Based on Multi-Probability Model for Multi-Objective Optimization
Zhenquan Zhuang · Jisuanji fangzhen · 2007
A new Estimation of Distribution Algorithm based on multi-probability model for multi-objective optimization is presented. This algorithm guides searching Pareto-front of multi-objective optimization problem by using multi-probability model at each generation. Estimation of Distribution Algorithms use probabilistic model to search for problem’s optimal solutions, and using multi- probability model can maintain the diversity of multi-objective optimization problem’s optimal set. This algorithm has the powerful ability of searching optimal, and the result can cover the Pareto-front. A set of experiments has been implemented to evaluate the performance of this algorithm by optimizing a group of test function set, and compare with other multi-objective optimization algorithms. The results show that the new algorithm presented can perform better in solving multi-objective optimization problems.