82 / 2016-03-09 19:18:13
Parallel Genetic Algorithm Based On The Solution Space Division
9511,9510,2936,1179
全文录用
Genetic algorithm (GA) is a commonly used optimization method which can seek approximate optimal solution in NP problem, but it also exist some deficiencies, such as premature convergence in local optimal solution, large computation running time, etc. Comparative experiments prove that the parallel genetic algorithm based on the solution space division which is proposed in this paper has the linear speedup as compared with the Simple Genetic algorithm (SGA), better performance in terms of overcome the local optimal solution than the Simple Genetic algorithm (SGA), and coarse-grained parallel genetic algorithm(CPGA).
重要日期
  • 会议日期

    10月03日

    2016

    10月05日

    2016

  • 07月05日 2016

    初稿截稿日期

  • 07月20日 2016

    终稿截稿日期

  • 10月05日 2016

    注册截止日期

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