Evolutionary Multi-objective Optimization of Personal Computer Hardware Configurations

  • Adam Slowik
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7269)

Abstract

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.

Keywords

Pareto Front Hardware Component Graphic Card Network Card Repair Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Adam Slowik
    • 1
  1. 1.Department of Electronics and Computer ScienceKoszalin University of TechnologyKoszalinPoland

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