Multiobjective resource allocation problem by multistage decision-based hybrid genetic algorithm

In this paper, in order to obtain a set of Pareto solutions efficiently, we propose a multiobjective hybrid genetic algorithm (mo-hGA) approach based on the multistage decision making model. According to the proposed method, we apply the mo-hGA to seek feasible solutions for all stages. The effectiveness of the proposed algorithm was validated by its application to an illustrative example dealing with multiobjective resource allocation problem.