A hybrid parallel evolutionary algorithm based on elite-subspace strategy and space transformation search

  • Authors:
  • Xiaojian Dong;Song Yu;Zhijian Wu;Zhangxing Chen

  • Affiliations:
  • State Key Lab of Software Engineering, Wuhan University, Wuhan, P.R. China;State Key Lab of Software Engineering, Wuhan University, Wuhan, P.R. China;State Key Lab of Software Engineering, Wuhan University, Wuhan, P.R. China;Department of Chemical and Petroleum Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada

  • Venue:
  • HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
  • Year:
  • 2009

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Abstract

In this paper, we present a new Hybrid Parallel Evolutionary Algorithm. It is based on Elite-subspace Strategy and combined with Space Transformation Search strategy to solve systems of non-linear equations. Verified by numerical experiments, our algorithm present an outstanding universal characteristics and superior convergence as well. All of the solutions can be obtained within a short period of time.