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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1390

Title: Location of ambulance emergency medical service in the Kumasi metropolis, Ghana
Authors: Amponsah, S. K.
Amoako, Gordon
Darkwah, K. F.
Agyeman, E.
Keywords: Location
Maximum expected covering location problem
Genetic algorithm
Issue Date: Jan-2011
Publisher: African Journal of Mathematics and Computer Science Research
Citation: African Journal of Mathematics and Computer Science Research , Vol. 4(1), pp. 18-26
Abstract: Location of emergency medical services such as an ambulance in urban locations has been under study for a long time. Several approaches have been employed in solving this very sensitive location problem. In this paper, a case study of the ambulance location problem in an urban setting as the Kumasi Metropolis in Ghana is solved.The Non-Linear Maximum Expected Covering Location Problem (MEXCLP) Implemented by Saydam and Aytug (2003) was used. To solve the problem, Genetic Algorithms (GA) that uses random key coding was Implemented. A formula for renormalizatlon has been introduced. Real route distances were used for computation and statistical deviation was introduced in the selection of our optimal route.
Description: This is a published article by African Journal of Mathematics and Computer Science Research Vol. 4(1), pp. 18-26, 2011
URI: http://hdl.handle.net/123456789/1390
Appears in Collections:Journal of Science and Technology 2000-

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