本文分析了近年来出现的一些优化算法，如模拟退火法、遗传算法和趋化性算法等的特点。
This paper analyzes a few optimization algorithms appeared in recent years as simulated annealing, heritage algorithm and chemotaxis algorithm.
介绍了多唯下降单纯形和模拟退火法两种数学优化算法。
Two mathematical optimization algorithms including simplex method and simulated annealing are used to solve the constraint optimization problems.
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。
This paper presents an optimization algorithm based on chaotic simulated annealing algorithm, which is used to estimate the parameter of Nonlinear Muskingum model.
提出并建立了三类成品油调合优化问题的非线性规划模型，设计了基于模拟退火法的求解算法。
It presents and builds the non-linear planning models of three kinds of product oil blending optimizing problem, and designs the solving algorithm based on the simulated annealing method.
论述了基于遗传算法的图像恢复方法，提出了将模拟退火法和遗传算法相结合求解图像非线性最优化问题的算法。
On the basis of introducing the existent blind deconvolution image recovery algorithm, a maximum likelihood image recovery algorithm deduced from probability statistical is presented in this paper.
论述了基于遗传算法的图像恢复方法，提出了将模拟退火法和遗传算法相结合求解图像非线性最优化问题的算法。
On the basis of introducing the existent blind deconvolution image recovery algorithm, a maximum likelihood image recovery algorithm deduced from probability statistical is presented in this paper.
应用推荐