HIERARCHICAL MULTI-OBJECTIVE DECISION SYSTEMS AND POWER-DECENTRALIZED SYSTEMS FOR GENERAL RESOURCE ALLOCATION PROBLEM.

Optimization methods are studied for hierarchical power-decentralized systems composed of a coordinating central system and plural semi-autonomous local systems in the lower-level, each of which possesses a decision-making unit. Such a decentralized system where both central and local systems possess their own objective function and decision variables is hence a multi-objective system. The basic principle of planning is that the central system allocates resources so as to optimize its own objective, while the local ones optimize their own objectives using the given resources.