Genetic algorithm hybridised by a guided local search to solve the emergency coverage problem
by Meryam Benabdouallah; Othmane El Yaakoubi; Chakib Bojji
International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO), Vol. 8, No. 1, 2017

Abstract: The management of emergency logistics is addressed by several researchers. This paper addresses the ambulance allocation in order to cover sectors in the Rabat region of Morocco. Our model takes into account the dynamic and stochastic nature of emergency calls arrival. This work proposes a mathematical model of the coverage problem, resolved using a genetic algorithm (GA) initialised by a heuristic and hybridised by a guided local search (GLS). We consider 12 emergency locations; seven hospitals of the region and five fire stations. These algorithms are approved comparing to the optimal solutions done by Cplex software. As a result, the GA hybridised by a GLS provides a distribution of ambulances in each potential waiting site (hospital or fire station), and minimises the total lateness of emergency intervention.

Online publication date: Fri, 14-Apr-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com