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模拟退火算法的另一种实现方法，解决TSP问题。代码写的很精炼。-Simulated Annealing Algorithm Another method to solve TSP problems. Code written in a very refined.
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三大经典算法之一：模拟退火算法。这里提供代码-One of the three classical algorithms: simulated annealing algorithm. Here are the code
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实现了用模拟退火法求解大规模优化问题的通用解法-Implementation using the simulated annealing method to solve the common problem of large-scale optimization solution
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Simulated Annealing Impelemtation in MATLAB
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模拟退火解决0-1背包问题，初学者可以借鉴-Simulated annealing to solve 0-1 knapsack problem, beginners can learn from
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利用模拟退火算法解决旅行商问题，共二十个城市，选择最优路径-The use of simulated annealing algorithm to solve traveling salesman problem
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模拟退火算法的MATLAB实例，包含图作色，旅行商等多个问题的例子。-Simulated annealing algorithm of MATLAB examples, including Fig作色, traveling salesman problem, and many other examples.
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按自然法则计算的一个新分支：确定性退火技术
解决Job Shop调度问题的模拟退火算法改进-Calculated in accordance with the laws of nature a new branch: deterministic annealing to solve the Job Shop scheduling problem to improve the simulated annealing algorithm
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General simulated annealing algorithm-anneal Minimizes a function with the method of simulated annealing (Kirkpatrick et al., 1983)
ANNEAL takes three input parameters, in this order:
LOSS is a function handle (anonymous function or
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推荐一个实用的Matlab模拟退火工具箱，里面含有非常全的matlab语言模拟退火算法,包括了Matlab函数和6个例程。
-Recommend a practical simulated annealing Matlab toolbox, which contains a very wide of the simulated annealing algorithm matlab language, including the Matlab function and six routines
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模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集 -Simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures
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使用VC++实现的俄罗斯方块，有界面，便于操作！-VC++ to achieve the use of simulated annealing algorithm, there are interfaces, easy to operate!
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用模拟退火优化遗传算法，使遗传算法具有反向搜索能力，通过仿真表明能够得到更优的值。-Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value.
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模拟退火算法实验，使用MATLAB实现。-The simulated annealing algorithm, using MATLAB experiment.
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模拟退火-粒子群算法，该程序将模拟退火算法和粒子群算法相结合，对优化参数有很好的效果-Simulated annealing- particle swarm optimization, the program will be simulated annealing algorithm and particle swarm optimization by combining optimization parameters have a good effect
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运用模拟退火算法求解带时间窗约束的车辆路径问题-The use of simulated annealing algorithm with time window constrained vehicle routing problem
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模拟退火算法是基于蒙特卡罗迭代求解法的一种启发式随机搜索过程。本文给出了该算法的详细介绍和伪代码。-Monte-Carlo simulated annealing algorithm is based on a heuristic iterative method for solving stochastic search process. This paper gives a detailed descr iption of the algorithm and pseudo code.
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这是用模拟退火算法解决0-1背包问题，下载后可直接运行，可以帮助有需要对模拟退火算法进行了解的朋友。-This is a simulated annealing algorithm to solve the 0-1 knapsack problem, after downloading, can be directly run, you can help those in need of the simulated annealing algorithm to find out about fr
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TSP can be defined as a problem where starting from a node it is required to visit every other node only once in a way that the total distance covered is minimized. After an initial solution a neighborhood solution is selected by an exchange of a ran
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Simulated Annealing (SA) is a smart (meta)-heuristic for Optimization. Given a cost function in a large search space, SA replaces the current solution by a random "nearby" solution. The nearby solution is chosen with a probability that depends on the
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