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http://hdl.handle.net/123456789/1390
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| 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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