Abstract
We consider two approaches to formulation and solving of optimal recombination problems arising as supplementary problems in genetic algorithms for the Asymmetric Travelling Salesman Problem and the Makespan Minimization Problem on a Single Machine. All four optimal recombination problems under consideration are NP-hard but relatively fast exponential-time algorithms are known for solving them. The experimental evaluation carried out in this paper shows that the two approaches to optimal recombination are competitive with each other.
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Acknowledgements
This research is supported by the Russian Science Foundation grant 15-11-10009, except for Subsect. 3.2 which is supported by RFBI grant 15-01-00785.
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Eremeev, A.V., Kovalenko, J.V. (2016). Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems. In: Chicano, F., Hu, B., García-Sánchez, P. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2016. Lecture Notes in Computer Science(), vol 9595. Springer, Cham. https://doi.org/10.1007/978-3-319-30698-8_10
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DOI: https://doi.org/10.1007/978-3-319-30698-8_10
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