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id ddssup9601
authors Aoke, Yoshitsugu and Muraoka, Naoto
year 1996
title An optimization method of the facility location by genetic algorithm
source Timmermans, Harry (Ed.), Third Design and Decision Support Systems in Architecture and Urban Planning - Part two: Urban Planning Proceedings (Spa, Belgium), August 18-21, 1996
summary In planning of community-facilities, it is important to decide the facility location to provide the effective service for residents. The behavior of residents using the facility and the evaluation methods of the location have been studied. But, finding the optimum location is very hard in actual planning because the volume of calculation depends on the number of feasible locating points of facilities. To conquer the difficulty of searching the optimum location, we propose an optimization method using Genetic Algorithm. An alternative of location is expressed by a chromosome. Each chromosome consists of genes, and each gene expresses a located zone of the facility. We gave definitions of genetic procedures; crossing-over, mutation and selection. Alternatives of the facility location are generated by these genetic procedures like as life evolution. For each alternative, the behaviors of users are estimated by a spatial-interaction model, and the facilities that residents in each place choose are determined. The effectiveness of the location is measured by a total sum of distances between the facility and the user. After the confirmation of the effectiveness of our method by applying on ideal example problems, we applied it on the actual problem in Japanese town. By this method we could find the optimum location in about one-third time and effort as compared with the ordinal method.
series DDSS
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