A new method of facility location by a genetic algorithm based on co-evolution – locational optimization of facilities by co-evolution of their locations and user allocation

A new method of facility location by a genetic algorithm based on co-evolution – locational optimization of facilities by co-evolution of their locations and user allocation

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Article ID: iaor20031345
Country: Japan
Issue: 540
Start Page Number: 221
End Page Number: 227
Publication Date: Feb 2001
Journal: Journal of Architecture, Planning and Environmental Engineering
Authors: ,
Keywords: facilities, community OR, optimization
Abstract:

The purpose of this study is to develop a general method of facility location by Genetic Algorithm based on Co-Evolution. To this end, this article proposes a new method which forms an individual by the following two chromosomes, that is, ‘location chromosome’ and ‘allocation chromosome’. These two chromosomes co-evolve in an individual. The proposed method is applied to a location-allocation problem of day facilities for the elderly in Karasuyama district of Setagaya-ku, Tokyo. The results are as follows: 1) this method shows an excellent ability to search a solution; 2) the solutions are obtained through a series of alternate trial-and-error by two chromosomes; 3) this method searches a solution which balances various factors of facility location, which gives practicality to the proposed method.

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