GAO Hui, ZHANG Rui. Real-coded Quantum Evolutionary Algorithm for Global Numerical Optimization with Continuous Variables[J]. Chinese Journal of Electronics, 2011, 20(3): 499-503.
Citation: GAO Hui, ZHANG Rui. Real-coded Quantum Evolutionary Algorithm for Global Numerical Optimization with Continuous Variables[J]. Chinese Journal of Electronics, 2011, 20(3): 499-503.

Real-coded Quantum Evolutionary Algorithm for Global Numerical Optimization with Continuous Variables

  • Received Date: 2009-11-01
  • Rev Recd Date: 2010-12-01
  • Publish Date: 2011-07-25
  • This paper presents a Novel version of real-coded quantum evolutionary algorithm (NRQEA) to solve global numerical optimization with continuous variables. Complementary mutation operator, which is designed based on the specific configuration of real-coded chromosome and the gradient informance of objective function, is used to update chromosomes and realize a balance between exploration and exploitation. Technique of reducing the search space, which is implemented based on the evolutionary process of algorithm, is adopted to improve the convergence rate. Simulation results on benchmark functions show that the algorithm proposed is more suitable for global numerical optimization with continuous variables than the compared algorithms, and has the characteristics of rapid convergence, good global search ability and stability.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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