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A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking
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    A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking

  • The Traveling Salesman Problem (TSP) is a classic optimization problem, which is formally defined by means of a weighted graph G = (V,E), in which V = {v1, v2, ..., vn} is a set of vertices and E = {vi , vj : vi ,vj ∈ V } is a set of edges. Each vertex vi ∈ V represents a city and each edge vi , vj  ∈ E connects the vertices vi and vj . The cost of travel from vi to vj is given by the weight value of the edge vi , vj . The best solution for a TSP instance involves finding th...
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