Journal of Science and Technology (JUST) >
Journal of Science and Technology 2000- >
Please use this identifier to cite or link to this item:
|Title: ||Location of ambulance emergency medical service in the Kumasi metropolis, Ghana|
|Authors: ||Amponsah, S. K.|
Darkwah, K. F.
Maximum expected covering location problem
|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|
|Appears in Collections:||Journal of Science and Technology 2000-|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.