| 改进的模拟退火算法求全局优化问题的最优解 |
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| 引用本文： | 蒲荣富.改进的模拟退火算法求全局优化问题的最优解[J].宜宾师范高等专科学校学报,2013(6):78-81. |
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| 作者姓名： | 蒲荣富 |
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| 作者单位： | 四川音乐学院研究生处,成都610021 |
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| 摘 要： | 围绕全局优化问题，对模拟退火算法进行了分析，针对过程变量优化问题中普遍存在的多峰现象，探讨了应用模拟退火算法求全局优化问题的最优解的方法．通过对线性问题和非线性问题的计算，表明该法能够有效地解决全局优化问题．
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| 关 键 词： | 全局优化 固体退火 模拟退火 米特罗波利斯准则 最优解 |
Improved Simulated Snnealing Algorithm for Global Optimization Problem of Optimal Solution |
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| PU Rongfu.Improved Simulated Snnealing Algorithm for Global Optimization Problem of Optimal Solution[J].Journal of Yibin Teachers College,2013(6):78-81. |
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| Authors: | PU Rongfu |
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| Institution: | PU Rongfu (Postgraduate Program Offwe, Sichuan Conservatory of Music, Chengdu 610021, China) |
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| Abstract: | Around the global optimization problem, the simulated annealing algorithm was analyses in detail, and in view of the process variables optimization problem in multimodal henomenon universal existence, the optimization method of the application of simulated annealing algorithm for global optimization problem of the optimal solution of was practiced. Based on the calculation of linear and nonlinear problems, the results show that the method can effectively solve the global optimization problems. |
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| Keywords: | global optimization solid annealing simulated annealing Metropolis Rule optimal solution |
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