Multi-Agent Based Patient Scheduling Using Ant Colony Optimization

With the advent of Agent Technology, and challenges facing the health care sector as a result of scarcity of both medical personnel and resources and also the distributive and complex nature of the activities in the medical domain, there is need to use the new programming paradigm in order to come up with robust and reliable system that will solve problems bedeviling the health care sector especially in the developing countries like Nigeria. In this work, a Meta heuristic technique called Ant Colony Optimization (ACO) was used in the patient scheduling in order to find the best possible solutions with small computational efforts that will reduce the waiting time of patients when competing for the various medical resources. Our ACO approach has its waiting time more than previously studied Particle Swarm Optimization (another Meta heuristic technique). Keyword: Agent, Pheromone, ACO African Journal of Computing & ICT Reference Format: A.A. Oniniyi & M.K. Ahmed (2015). Multi-Agent Based Patient Scheduling Using Ant Colony Optimization. Afr J. of Comp & ICTs. Vol 8, No. 2. Pp 91-96. .