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详细讲述模拟退火算法的理论原理。并TSP问题为例进行讲解，并各处多种语言的源代码，包括c，matlab以及delphi。
,Simulated annealing algorithm described in detail the theory of principle. And TSP as an example to explain the problem and the source code of various languages, including c, matlab, as w
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利用模拟退火算法来求解双车库的车辆路径问题-Simulated annealing algorithm to solve the vehicle routing problem with double garage
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用遗传算法--模拟退火算法求解车辆路径问题。-Using genetic algorithms- simulated annealing algorithm for vehicle routing problem.
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this code solves vehicle routing problem using simulated annealing algorithm in matlab.
in this code , we create different models and then evaluate them using SA algorithm.
one of the advantage of this code , is that code is splitting diff
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采用蚁群算法能够解决31个城市的旅行商问题，相对于遗传算法，模拟退火算法和其他的算法，蚁群算法有其自身的优势-Ant colony algorithm to solve the traveling salesman problem 31 cities, with respect to genetic algorithms, simulated annealing algorithm and other algorithms, ant colony algorithm has its own ad
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采用模拟退火算法或禁忌算法求解车辆路径问题-Using simulated annealing algorithm or tabu search algorithm to solve the vehicle routing problem
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采用模拟退火方法解决有容量限制的车辆路径问题，matlab代码。Capacitated Vehicle Routing Problem (VRP) using SA. MATLAB
-implementation of solving Capacitated Vehicle Routing Problem (VPR) using Simulated Annealing (SA)
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模拟退火算法求解车辆路径问题的MATLAB代码(Simulated annealing algorithm for vehicle routing problem)
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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。(The simulated annealing algorithm derived from the principle of solid annealing, heating the solid to a sufficiently high, let it slowly cooling, he
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利用模拟退火算法实现VRP问题，此算法结果较为优良，对了解模拟退火算法有一定的借鉴意义(Using simulated annealing algorithm to achieve the VRP problem, the algorithm results are relatively good, to understand the simulated annealing algorithm has certain reference value)
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采用模拟退火算法求解车辆路径问题
(Using simulated annealing algorithm to solve the vehicle routing problem)
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模拟退火算法解决VRP问题，包含所有函数的M文件，有例子(Simulated annealing algorithm solves VRP problem, including M files of all functions, and some examples)
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用于标准VRP问题的模拟退火算法，可运行，适合新手学习。(The simulated annealing algorithm for standard VRP Problem can be run and is suitable for novice learning.)
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用于求解带时间窗的多车场的配送路径优化问题，即vrp问题，算法是基于模拟退火算法和遗传算法的混合算法(The algorithm is a hybrid algorithm based on simulated annealing algorithm and genetic algorithm, which is used to solve the distribution path optimization problem of multi depot with time window)
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遗传算法、模拟退火算法、禁忌搜索算法求解VRP问题的matlab程序(Matlab program of genetic algorithm, simulated annealing algorithm, tabu search algorithm to solve VRP problem)
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解决车辆路径问题，改进的模拟退火和遗传算法，全面详细，适用于解决VRP问题和物流车辆规划(To solve the vehicle routing problem, the improved simulated annealing and genetic algorithm, comprehensive and detailed, suitable for solving VRP problems and logistics vehicle planning)
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