A Brief Review on Multi-objective Differential Evolution

Most of the real-world search and optimization problems have multiple objectives. In the past few years, Multi-objective Evolutionary Algorithms (MOEAs) are widely used. A multi-objective optimization problem has several conflicting objectives that provide a set of trade-off optimal solutions. In this paper, we provide a brief review of Multi-objective Differential Evolution (MODE) primarily during the last 5 years. It covers several improved and modified variants of DE for solving multi-objective engineering problems.