A dynamic approach to multiple-objective resource allocation problem

A new approach using dynamic programming is developed for solving the multiple-objective resource allocation problem. There are two key issues being addressed in this approach. The first one is to develop a methodology of fuzzy evaluation and fuzzy optimization for multiple-objective systems. The procedure of getting the marginal evaluation for each objective and aggregating them synthetically into a global evaluation is presented in this paper. The second one is to design a dynamic optimization algorithm by incorporating the method of fuzzy evaluation and fuzzy optimization with the conventional dynamic programming technique. A characteristic feature of the approach presented is that various objectives are synthetically considered by the fuzzy systematic technique instead of the frequently employed weighted-average method. Numeric examples are also given to clarify the developed approach and to demonstrate its effectiveness.