| 引入模拟退火算子的差分进化算法性能研究 |
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| 引用本文： | 张伟丰.引入模拟退火算子的差分进化算法性能研究[J].数值计算与计算机应用,2011,32(4):301-306. |
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| 作者姓名： | 张伟丰 |
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| 作者单位： | 湖北汽车工业学院经济管理学院,湖北十堰,442002 |
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| 摘 要： | 为了提高差分进化算法的优化性能，将模拟退火算子引入到差分进化算法中，利用模拟退火算子良好的全局搜索能力进一步提高差分进化算法对复杂问题的优化能力．通过对复杂函数优化的仿真结果表明，算法在求解复杂优化问题上具有更快的收敛速度和更好的全局收敛性．
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| 关 键 词： | 模拟退火 差分进化 优化 |
THE PERFORMANCE RESEARCH OF DIFFERENTIAL EVOLUTION ALGORITHM WHICH INTRODUCED THE SIMULATED ANNEALING OPERATOR |
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| Zhang Weifeng.THE PERFORMANCE RESEARCH OF DIFFERENTIAL EVOLUTION ALGORITHM WHICH INTRODUCED THE SIMULATED ANNEALING OPERATOR[J].Journal on Numerical Methods and Computer Applications,2011,32(4):301-306. |
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| Authors: | Zhang Weifeng |
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| Affiliation: | Zhang Weifeng (School of Economics'and Management,Hubei Automotive Industries Institute,Shiyan 442002,Hubei,China) |
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| Abstract: | To raise the optimization performance of differential evolution algorithm,this paper introduces simulated annealing operator to differential evolution algorithm,and uses the simulated annealing operators' excellent global search capability to improve the differential evolution algorithm's optimization ability on complex problems.The simulation results show that this algorithm has quicker convergence rate and better global astringency on complex question. |
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| Keywords: | Simulated Annealing Differential Evolution Optimization |
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