An asymptotically optimal algorithm for the m-Peripatetic Salesman Problem on random inputs with discrete distribution


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Abstract

We consider the m-Peripatetic Salesman Problem (m-PSP) on random inputs with discrete distribution function. In this paper we present a polynomial approximation algorithm which, under certain conditions, with high probability (w.h.p.) gives optimal solution for both the m-PSP on random inputs with identical weight functions and the m-PSP with different weight functions.

About the authors

E. Kh. Gimadi

Sobolev Institute of Mathematics; Novosibirsk State University

Author for correspondence.
Email: gimadi@math.nsc.ru
Russian Federation, pr. Akad. Koptyuga 4, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090

O. Yu. Tsidulko

Sobolev Institute of Mathematics; Novosibirsk State University

Email: gimadi@math.nsc.ru
Russian Federation, pr. Akad. Koptyuga 4, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090

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