African Journal of
Mathematics and Computer Science Research

  • Abbreviation: Afr. J. Math. Comput. Sci. Res.
  • Language: English
  • ISSN: 2006-9731
  • DOI: 10.5897/AJMCSR
  • Start Year: 2008
  • Published Articles: 262

Full Length Research Paper

Location of ambulance emergency medical service in the Kumasi Metropolis, Ghana

S. K. Amponsah, Gordon Amoako*, K. F. Darkwah and E. Agyeman
Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi-Ghana.
Email: [email protected]

  •  Accepted: 02 December 2010
  •  Published: 31 January 2011



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.