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Optimization of Security Investment Portfolio Based on Improved Simulated Annealing Algorithm

机译:基于改进模拟退火算法的证券投资组合优化

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Considered of multi-local optimal solution in investment portfolio, the paper proposed an improved Simulated Annealing Algorithm. This algorithm applied multiplicator function which transform security investment model into nonrestraint optimization problem, optimized key process and parameter of basal Simulated Annealing Algorithm. It also solved initial temperature and how to get the result, balanced speed and precision, then improved efficiency of algorithm. At last, this paper used date to validate the feasibility of algorithm.
机译:考虑到投资组合中的多局部最优解,提出了一种改进的模拟退火算法。该算法利用乘数函数将证券投资模型转化为无约束优化问题,优化了基础模拟退火算法的关键过程和参数。它还解决了初始温度以及如何获得结果,平衡速度和精度的问题,从而提高了算法的效率。最后,本文利用数据验证了算法的可行性。

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