Summary of Multi-Objective Optimization Evolutionary Algorithms

Evolutionary computation comes from the natural evolution of evolutionary thinking and inspiration. Parallel to its potential and self-organizing, adaptive, self-learning smart features for solving multi-objective optimization problems with great potential. Systematically introduces the multi-objective evolutionary algorithms to optimize multi-objective evolutionary algorithm (MOEAs), at the same time discusses the evolutionary algorithms (EAs) in the multi-objective optimization of the application of a number of key issues in the future and the need for further research work.