This paper presents an improved fast simulated annealing algorithm based on the analysis on deterministic method and simulated annealing algorithm for solving global optimization problems.
基于对求解全局优化问题的确定性方法和模拟退火算法的分析，文中提出了一种改进的快速模拟退火算法。
This paper proposes a global query optimization algorithm based on a faster decomposition-based simulated annealing algorithm.
文章提出了一种基于快速分解模拟退火算法的全局查询优化算法。
This paper presents an optimization algorithm based on chaotic simulated annealing algorithm, which is used to estimate the parameter of Nonlinear Muskingum model.
提出了用混沌模拟退火法估计非线性马斯京根模型参数的优化算法。
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