Evolutionary Algorithms with Intelligent Mutation Operator that Solve the Vehicle Routing Problem of Clustered Classification with Time Windows
نویسندگان
چکیده
This paper presents an evolutionary algorithm that uses the combination of the selection operator “the best” and the proposed operators, crossover “crossover-k” and intelligent mutation “mutation-S.” The initial population (feasible individuals) is generated with the kmeans algorithm of clustering (Data-Mining Techniques). The proposed algorithm solves the Vehicle Routing Problem with Time Windows, problem type C (clustered customers classification) with 100-node problems.
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