A Guided Learning Algorithm for solving the Traveling Salesman Problem
نویسندگان
چکیده
We propose a novel algorithm for solving the Traveling Salesman Problem (TSP). Our approach uses Genetic Algorithm as a guiding tool to direct Monte Carlo search towards convergence. This hybrid approach leverages a Genetic Algorithm to generate individuals with highly fit genes and uses that information as a base plan for Monte Carlo search. Our experiments suggest that this twostep Expectation-Maximization approach not only converges faster than either of the two algorithms studied individually, but also arrives at solutions that are closer to optimal.
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