A Multi-Objective Evolutionary Algorithm for Non-uniform Problem
Jinhua Zheng · Computer Engineering and Applications Journal · 2006
In this paper,a grids technique based on niching evolutionary algorithm for multi-objective optimization(GNEA) is proposed,which aims to solve non-uniform problems.GNEA applies niche technique to keep the non-uniform distribution of local solutions,and grid division to maintain diversity of the globe solutions.To make GNEA more efficient,we propose to construct the non-dominated set with the Dealer’s Principle.We compare our GNEA with two popular MOEAs,and it is validated by experiment that the algorithm has well-distributed set of Pareto-Optimal Solutions in a small computational time and it can be adapted to non-uniform problems.