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模拟退火算法实现货郎问题，实例验证了模拟退火算法在解决货郎问题中的应用-The simulated annealing algorithm Shining problem, the examples demonstrate the application of simulated annealing algorithm in solving the Shining problem
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運用模擬退火法SA求解旅行者路徑問題TSP，-Using simulated annealing SA travelers path problem solving TSP,
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Simulated annealing (SA) is a probabilistic technique for approximating the global optimum of a given function. Specifically, it is a metaheuristic to approximate global optimization in a large search space. It is often used when the search space is
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Simulated annealing (SA) is a probabilistic technique for approximating the global optimum of a given function. Specifically, it is a metaheuristic to approximate global optimization in a large search space. It is often used when the search space is
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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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