Multi-objective optimization based on self-adaptive differential evolution algorithm
V. L. Huang, A. Kai Qin, Ponnuthurai Nagaratnam Suganthan, M. Fatih Tasgetiren · 2007
In this paper, our recently developed Self-adaptive Differential Evolution algorithm (SaDE) is extended to solve numerical optimization problems with multiple conflicting objectives. The performance of the proposed MOSaDE algorithm is evaluated on a suit of 19 benchmark problems provided for the CEC2007 special session (http://www.ntu.edu.sg/home/epnsugan/) on Performance Assessment of Multi-Objective Optimization Algorithms.