Abstract—In a computer store business, the number of units in the inventory and specification of the parts of the units play a big factor in its success. There will be a higher rate of success if there are more computer units to sell and advanced specifications for the computer parts but it will cost a lot of money. In maintaining a computer store, resources have to be optimized to its fullest capacity. Given a budget constraint, the specifications of the parts of the computers that will be purchased have to be optimized. This process is usually done manually by people who have a computer store which results in an inefficient allocation of resources. This research presents a scientific approach minimizing the average annual cost of ordering and storing the computer sets. This is done by using Simulated Annealing and Particle Swarm Optimization in purchasing the number of units and specification of the parts of the computers.

Index Terms—simulates annealing, particle swarm optimization, optimization Techniques, and computer hardware

Cite: Aaron Don M. Africa, "A Computer Store Optimization Model using Particle Swarm Optimization and Simulated Annealing," Jounal of Automation and Control Engineering, Vol. 2, No. 1, pp. 20-25, March, 2014. doi: 10.12720/joace.2.1.20-25