Abstract
Recently, in Japan, utilizing methods on the stock of dwelling houses become an important issue to be solved in the society where population is shrinking. In order to resolve the problem, “Reduction Method” is considered to be one of the effective methods. Reduction method is used in order to improve dwelling environment by reducing building volume. In case of location problems of dwelling houses, researches on evolutionary computation methods are studied and its effectiveness for obtaining an optimal solution from enormous solution space in a short time is also clarified. In this paper, simulation systems of reduction method on dwelling houses are developed by using Classifier System: a reinforcement learning system. By using a classifier system, layout plans of dwelling houses are obtained as results of simulation, and rules of reduction method are obtained, therefore, processes of reduction method can be observed. Furthermore, a reduction simulation is also performed using Genetic Algorithm and the layout plans of dwelling houses created by the rules of reduction method are verified and discussed by comparing with the plans obtained as a result of Genetic Algorithm simulation.
