Simulated Annealing Parallel Genetic Algorithm Based on Building Blocks Migration

  • Authors:
  • Zhiyong Li;Xilu Zhu

  • Affiliations:
  • School of computer and communication, Hunan University, 410082, China;School of computer and communication, Hunan University, 410082, China

  • Venue:
  • ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
  • Year:
  • 2007

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Abstract

Through analyzing schema theorem and building blocks theory, propose parallel genetic algorithms based on building blocks migration. Relying on convergence condition, receive building blocks from other populations. Using simulated annealing method prevent the density of good schema to increase greatly which will result in premature convergence. Theory analysis and experimental results show that the method not only reduce ineffective migration and decrease communication costs, but also lower the possibility of occurring premature and assure the capability of global convergence.