MULTI-OBJECTIVE OPTIMIZATION IN AMR SYSTEMS DESIGN AND SELECTION

摘要

In this paper, computational algorithms of different multi-objective optimization techniques and their application for AMR systems are presented. In order to illustrate the effectiveness of the proposed methods, they have been demonstrated on a layered AMR bed optimization problem, where three objective functions are considered, namely: the temperature span, the cooling energy and the time of transient state. The weighted sum, weighted product, K?eney-Raiffa, distance to a reference goal and ?-constraint methods are described along with a comparative study of the results. The results from the multi-objective optimization methods.are evaluated in terms of the supercriterion S and the Euclidean distance N. It is concluded that the results obtained using some methods are properly balanced yielding the best compromise in the presence of conflicting objectives while some other methods allow to reach predefined goals or to respect additional constraints.