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Paper detail

New mechanism of combination crossover operators in genetic algorithm for solving the traveling salesman problem

Traveling salesman problem (TSP) is a well-known in computing field. There are many researches to improve the genetic algorithm for solving TSP. In this paper, we propose two new crossover operators and new mechanism of combination crossover operators in genetic algorithm for solving TSP. We experimented on TSP instances from TSP-Lib and compared the results of proposed algorithm with genetic algorithm (GA), which used MSCX. Experimental results show that, our proposed algorithm is better than the GA using MSCX on the min, mean cost values.

preprint2020arXivOpen access
Pham Dinh ThanhHuynh Thi Thanh BinhBui Thu Lam
Neural and Evolutionary ComputingArtificial Intelligence
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Pham Dinh ThanhHuynh Thi Thanh BinhBui Thu Lam

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