## Heuristics for a repetitive routing problem of a single grasp-and-delivery robot with an asymmetric edge cost function

- A. Shurbevski, H. Nagamochi, Y. Karuno
- 10th International Conference of the Society for…
- 2011

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7 Excerpts

- Published 2014 in WALCOM

We examine a generalization of the symmetric bipartite traveling salesman problem (TSP) with quadrangle inequality, by extending the cost function of a Hamiltonian tour to include a bias factor β ≥ 1. The bias factor is known and given as a part of the input. We propose a novel heuristic procedure for building Hamiltonian cycles in bipartite graphs, and show that it is an approximation algorithm for the generalized problem with an approximation ratio of 1 + 1+λ β+λ , where λ is a real parameter dependent on the problem instance. This expression is bounded above by a constant 2, for any positive real λ and β ≥ 1, which improves a previously reported approximation ratio of 16/7. As a part of a composite heuristic, the proposed procedure can contribute to an approximation ratio of 1 + 2 ζ+β(2−ζ) , where ζ is an approximation ratio for the metric TSP.

@inproceedings{Shurbevski2014ApproximatingTB,
title={Approximating the Bipartite TSP and Its Biased Generalization},
author={Aleksandar Shurbevski and Hiroshi Nagamochi and Yoshiyuki Karuno},
booktitle={WALCOM},
year={2014}
}