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用模拟退火算法解决旅行商类优化问题，有算法和例子，很好用。-Using simulated annealing algorithm to solve traveling salesman optimization problem category, there are algorithms and examples of good use.
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matlab模拟退火算法，可以初步认识模拟退回算法构成及用法-matlab simulated annealing algorithm can be returned to an initial understanding of simulation algorithm composition and usage
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一系列好用的用户友好的启发式优化算法，包括非自适应算法，基于模拟退火算法的种群算法，基本遗传算法，差分进化算法以及粒子群优化算法。此外，也包括神圣算法，它利用了所有这些优化算子，虽然有时交换种群之间的不同算法。-A nice set of user-friendly heuristic optimizers. Included are a non-adaptive, population based Simulated Annealing algorithm, a basic Genetic A
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微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6] 。它在许多优化问题中都表现出优于自适应模拟退火算法、POS 算法、GA算法的性能。DE利用实数值参数向量作为每一代的种群，它的自参考种群繁殖方案与其他优化算法不同。-DE was first proposed in 1995 by Rainer Storn and Kenneth Price and had been proven tha
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神经网络（应用模拟退火算法求函数极值问题）-Neural network (the application of simulated annealing algorithm for function extremum problems)
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模拟退火实现的连续函数优化问题。仿真效果良好-Simulated annealing to achieve the continuous function optimization problems. Simulation results
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这是用MATLAB编写的模拟退火算法求解背包问题的程序-This is prepared using MATLAB algorithm simulated annealing procedure for Knapsack Problem
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模拟退火算法的ppt和程序，分四个文件夹- algorithm and ppt of Simulated annealing
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模拟退火算法，模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。-Simulated annealing algorithm, simulated annealing algorithm derived from the principle of solid annealing, heating the solid to the full hig
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genetic algorithm, simulated annealing, singleobjective, particle swarm optimi..., optimization, classes
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遗传算法与模拟退火,粒子群算法的结合与比较实验.稍微修改就可以学习应用-Genetic algorithms and simulated annealing, particle swarm optimization algorithm and comparison with experiment. A slight modification can learn the application of
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基于模拟退火的粒子群算法，解决无约束优化问题-Based on simulated annealing particle swarm algorithm to solve unconstrained optimization problems
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基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization and Simulated Annealing least squares support vector machine parameter self-selection method
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通过分析均匀分布与Cauchy分布的分布机制，提出了一种改进的模拟退火图像盲复原算法，该算法选择Cauchy
分布为随机扰动量来产生状态扰动函数。通过计算机仿真，验证了该算法对初值的鲁棒性和复原的效果优于基于均匀分布随
机扰动量模拟退火盲解卷积算法，提高了收敛到最优解的速度
-After analyzing the distribution mechanisms of uniform distribution and Cauchy distribution,an
algorith
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一个很好的模拟退火反演算法程序，例子是地球物理重力反演-A good simulated annealing inversion procedure, example is the geophysical inversion of gravity
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自己编写的模拟退火matlab程序，在已有程序上的改进。-I have written matlab simulated annealing process, the existing procedural improvements.
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MatLAB的模拟退火算法工具箱。 MatLAB的模拟退火算法工具箱。-MatLAB simulated annealing algorithm toolbox. MatLAB simulated annealing algorithm toolbox. MatLAB simulated annealing algorithm toolbox.
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模拟退火MATLAB程序-MATLAB simulated annealing process. . . . . . . . . . . . . . . . . . . . . . . . . .
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哈密尔顿回路算法，内含TSP模拟退火算法和三边交换简单算法-Hamilton-loop algorithms, simulated annealing algorithm includes TSP and trilateral exchange of a simple algorithm for
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基于模拟退火的粒子群算法，模拟退火算法在搜索过程中具有该概率突跳的能力，能够有效地避免搜索过程陷入局部极小解。-Based on simulated annealing particle swarm optimization, simulated annealing algorithm in the search process has a sudden jump in the probability of the capacity, which can effectively avoid th
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