搜索资源列表
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模拟退火算法用于求解旅行商问题的matlab源程序-simulated annealing algorithm for solving the traveling salesman problem Matlab source
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[智能] 求完全图哈密尔顿圈的遗传模拟退火算法matlab通用源程序 ,[Intelligence] for the complete graph of the Hamilton Circle genetic simulated annealing algorithm matlab source generic
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描述基于matlab环境的模拟退火算法的原理、应用和实例的好书,Descr iption based on matlab, the principle of the simulated annealing algorithm is applied and examples of good books
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基于遗传模拟退火算法的聚类算法。将模拟退火算法与遗传算法相结合用于聚类分析，由于模拟退火算法和遗传算法可以互相取长补短，因此有效地克服了传统遗传算法的早熟现象，同时根据聚类问题的具体情况设计遗传编码方式、适应度函数，使该算法更有效、更快速地收敛到全局最优解。
-Genetic simulated annealing algorithm based on clustering algorithms. Simulated annealing algorithm and genetic algo
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带有QoS约束的组播路由问题是一个NP完全问题，遗传模拟退火算法是遗传算法和模拟退火算法的一种融合，可以为这类问题提供一个解决方案-With QoS constraint multicast routing problem is an NP-complete problem, genetic simulated annealing algorithm is a genetic algorithm and simulated annealing algorithm as a fusion, you
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用matlab实现的利用模拟退火算法(SA)解决旅行商问题(TSP).-Matlab achieved with the use of simulated annealing algorithm (SA) to solve traveling salesman problem (TSP).
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利用模拟退火算法解决50个城市的tsp问题，简单易懂，适合初学者-The use of simulated annealing algorithm to solve 50 problems tsp city, easy-to-read, suitable for beginners
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改进模拟退火算法，应用并实现，希望对大家有所帮助。-Improved simulated annealing algorithm, the application and to achieve, I hope all of you to help.
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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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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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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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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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这是模拟退火算法，用于解决换热器网络出口温度达到最大值的问题-This is a simulated annealing algorithm used to solve the heat exchanger outlet temperature to achieve maximum network problems
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模拟退火算法matlab源程序，运行过的，没有问题！-Simulated annealing algorithm matlab source code, run-off, no problem!
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模拟退火算法(MATLAB实现)，程序简单实用，易于实现-Simulated annealing algorithm (MATLAB implementation), the procedure is simple and practical, easy to implement
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模拟退火方法解决TSP问题，代码用MATLAB实现，可直接运行，可自行修改初始城市数据-Simulated annealing algorithm to solve TSP problem, the code using MATLAB to achieve, can be run directly, you can modify the initial data on their own city
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利用模拟退火算法寻找我国31个省会城市（不含港澳台）的TSP最短路径.输出最短路径顺序及其长度，以及模拟退火算法迭代过程中的最短路径长度进化曲线-Simulated annealing algorithm to find China' s 31 provincial capital cities (excluding Hong Kong, Macao and Taiwan) of TSP shortest path shortest path output sequence and len
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