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Genetic Algorithm (GA) In Solving Vehicle Routing Problem
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Genetic Algorithm to solve vehicle routing problem.
Several parameters need to be provided before performing the GA to solve the problem. The parameters are basically the GA needed parameters, such as Population size, Cross-Over Rate, Mutation Rate and Number of Generation. The user needs to determine the source and destination on the map before simulating the solutions. The system finally will give a path that connects the source and destination location as well as the distance and time using the path. The goal is to get the shortest and fastest route for travel from source to destination.
More information:
Several parameters need to be provided before performing the GA to solve the problem. The parameters are basically the GA needed parameters, such as Population size, Cross-Over Rate, Mutation Rate and Number of Generation. The user needs to determine the source and destination on the map before simulating the solutions. The system finally will give a path that connects the source and destination location as well as the distance and time using the path. The goal is to get the shortest and fastest route for travel from source to destination.
More information:
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