Description: 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 discrete (e.g., all tours that visit a given set of cities). For problems where finding the precise global optimum is less important than finding an acceptable global optimum in a fixed amount of time, simulated annealing may be preferable to alternatives such as brute-force search or gradient descent.
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SimulatedAnnealing\Annealing.cs
..................\App.ico
..................\AssemblyInfo.cs
..................\Backup\Annealing.cs
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..................\......\AssemblyInfo.cs
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..................\bin\Debug\SimulatedAnnealing.exe
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..................\Form1.cs
..................\Form1.resx
..................\obj\Debug\SimulatedAnnealing.csproj.FileListAbsolute.txt
..................\...\.....\SimulatedAnnealing.csproj.GenerateResource.Cache
..................\...\.....\SimulatedAnnealing.exe
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..................\SimulatedAnnealing.csproj
..................\SimulatedAnnealing.csproj.user
..................\SimulatedAnnealing.sln
..................\SimulatedAnnealing.suo
..................\TspDataReader.cs
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..................\obj\Debug\TempPE
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SimulatedAnnealing