Full Length Research Paper
S. K. Amponsah, Gordon Amoako*, K. F. Darkwah and E. Agyeman
Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi-Ghana.
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 renormalization has been introduced. Real route distances were used for computation and statistical deviation was introduced in the selection of our optimal route.
Key words: Location, maximum expected covering location problem, genetic algorithm.
|APA||(2011). Location of ambulance emergency medical service in the Kumasi Metropolis, Ghana. African Journal of Mathematics and Computer Science Research, 4(1), 18-26.|
|Chicago||S. K. Amponsah, Gordon Amoako, K. F. Darkwah and E. Agyeman. "Location of ambulance emergency medical service in the Kumasi Metropolis, Ghana." African Journal of Mathematics and Computer Science Research 4, no. 1 (2011): 18-26.|
|MLA||S. K. Amponsah, et al. "Location of ambulance emergency medical service in the Kumasi Metropolis, Ghana." African Journal of Mathematics and Computer Science Research 4.1 (2011): 18-26.|