A Novel Inverse Approach to the Graph Model for Conflict Resolution Using Genetic Algorithm

A novel approach based on genetic algorithm (GA) is put forward to determine the possible relative preference required to reach the desired equilibria for the focal decision-makers (DMs) or the third party from the inverse perspective. More specifically, a framework of inverse graph model for conflict resolution (GMCR) modified from original GMCR incorporating GA's procedure is proposed to provide DMs with strategic insights toward inverse problems with conflict resolution. By taking full advantage of the optimization and search capability of GA, an improved preference calculation method is developed to help DMs focus limited resources on visionary strategies. Finally, an illustrative example is applied to demonstrate the applicability of the proposed approach in practice.