Distributed channel routing using genetic algorithm

  • Authors:
  • Chuleui Hong;Wonil Kim;Yeongjoon Kim

  • Affiliations:
  • Software School, Sangmyung University, Seoul, Korea;Dept. of Digital Contents, College of Electronics and Information Engineering, Sejong University, Seoul, Korea;Software School, Sangmyung University, Seoul, Korea

  • Venue:
  • PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
  • Year:
  • 2004

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Abstract

Known as an NP-Complete problem, the channel routing problem is very important in the automatic layout design of VLSI circuit and printed circuit boards. In this paper, a distributed genetic algorithm for this channel routing problem is presented in MPI environments. Each node executes genetic operations to own sub-population and communicates synchronously with other nodes to form the global population. The experimental results show that the proposed algorithm maintains the convergence properties of sequential genetic algorithm.