Description: Genetic algorithm source code is based on Darwin' s theory of evolution of an intelligent optimization algorithm, a complex system can be used to optimize the robustness of the search algorithm, the application of traditional methods to solve difficult and complex, nonlinear problems, can be widely used in combinatorial optimization, discrete optimization, engineering, optimization and other fields. Traveling Salesman Problem is a NP hard combinatorial optimization problem, has important theoretical value and practical application of research background. However, the traditional genetic algorithm, there is less than the need to introduce new improved genetic algorithm, and applied for solving the traveling salesman problem.
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TSPGA
.....\TSPGA
.....\.....\bin
.....\.....\...\Debug
.....\.....\...\.....\TSPGA.exe
.....\.....\...\.....\TSPGA.pdb
.....\.....\...\.....\TSPGA.vshost.exe
.....\.....\...\Release
.....\.....\Form1.cs
.....\.....\Form1.Designer.cs
.....\.....\Form1.resx
.....\.....\obj
.....\.....\...\Debug
.....\.....\...\.....\Refactor
.....\.....\...\.....\TempPE
.....\.....\...\.....\TSPGA.csproj.GenerateResource.Cache
.....\.....\...\.....\TSPGA.exe
.....\.....\...\.....\TSPGA.Form1.resources
.....\.....\...\.....\TSPGA.pdb
.....\.....\...\.....\TSPGA.Properties.Resources.resources
.....\.....\...\Release
.....\.....\...\TSPGA.csproj.FileListAbsolute.txt
.....\.....\Program.cs
.....\.....\Properties
.....\.....\..........\AssemblyInfo.cs
.....\.....\..........\Resources.Designer.cs
.....\.....\..........\Resources.resx
.....\.....\..........\Settings.Designer.cs
.....\.....\..........\Settings.settings
.....\.....\TSPGA.csproj
.....\.....\World.cs
.....\.....\ZVisitRoute.cs
.....\TSPGA.sln
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