APPLICATION OF MULTI-OBJECTIVE GENETIC ALGORITHMS AND CRI(C) & CRI(H) ANALYSIS TO INDOOR HUMIDITY ENVIRONMENT DESIGN OPTIMIZATION

This study presents a multi-objective optimum design method for reliable indoor humidity environmentsbased on the appropriate use of moisture-conditioning materials. In this paper, (1) a transient predictionof indoor air temperature and humidity in a model living room is developed by employing indices for thecontribution ratio of indoor climate (CRI(C)) and contribution ratio of indoor humidity (CRI(H)), and (2) anoptimal design method is developed using multi-objective genetic algorithms (MOGA) and the transientprediction above. In order to confirm the validity of the proposed optimum design system, aconventional model living room with a number of moisture sources is set up as an analytical target andthe optimum amount and arrangement of moisture-conditioning materials as design parameters areanalyzed to achieve a reliable environmental design for indoor humidity. As a result, optimal solutionsare obtained by means of MOGA and the effectiveness of this approach is demonstrated for designers.