An Multi-objective Artificial Physics Optimization Algorithm Based on Non-dominated Sorting Thought

In this paper the non-dominated sorting was introduced into MOAPO algorithm,and the crowding distance was reflected in the mass function of the MOAPO algorithm,and then a new MOAPO algorithm more was brought forward.Six classical benchmark functions for MOP are used to test its performances.Comparing with the algorithm of MOPSO,NSGA2 and MOAPO,the test results show that the algorithm is more effective for multi-objective problems with excellent diversity.