Conflict resolution method based on multi-objective evolutionary algorithms in collaborative design

A conflict resolution method based on fuzzy set and Multi-Objective Evolutionary Algorithms (MOEAs) was presented to solve the Goal Conflict Problem (GCP) in the collaborative design system. Reasons of GCP in collaborative design were analyzed and the multi-objective model of the GCP was established firstly. Then, the MOEAs were used to solve the proposed multi-objective model, and the optimal set according with decision preference was obtained. Finally, the Satisfaction Function (SF) based on fuzzy set theory was used to sort the solution sets, and the best SF value was regarded as the optimal relation. In the simulation experiment, two classical engineering design problems were used as application examples. Multi-Objective Particle Swarm Optimization algorithm based on Decision Preferences (DPMOPSO) was used to search the optimal solutions that in accordance with decision preferences. And the comparison was carried out with confliction resolution method based on multi-objective decision-making in collaborative design. The results demonstrated the validity of this method.