Evolutionary Multi-objective Optimization of Personal Computer Hardware Configurations

In this paper, we propose an intelligent system developed for personal computer (PC) hardware configuration. The PC hardware configuration is a hard decision problem, because nowadays in the computer market we have very large number of PC hardware components. Therefore, a choice process of personal computer having maximal efficiency and minimal price is a very hard task. Proposed in this paper, the PC hardware configuration system is based on multi-objective evolutionary algorithm. All detailed information about PC particular components are stored in database. Using proposed system, personal computer can be easily configured without any knowledge about PC hardware components. As a test of the proposed system, in this paper we have configured personal computers for game players and for office work.