Many-Objective Particle Swarm Optimization Algorithm Based on Preference
Yangjie Zhao, Jianchang Liu, Xia Yu, Fei Li, Jiani Zhu · 2018
I0558. A preference model is designed to describe the preference of the decision makers, which consists of the reference point, preference angle. Then, a set of weight vectors distributed uniformly in the whole target region is projected into the preference region based on the preference model. These preference weight vectors are integrated into a many objective particle swarm optimization algorithm. Compared with two algorithms on a number of many objective benchmark problems, the effectiveness of IR2-MaPSO-PRE is validated.