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This article is cited in 2 scientific papers (total in 2 papers)
An asymptotically optimal algorithm for the $m$-peripatetic salesman problem on random inputs with discrete distribution
E. Kh. Gimadiab, O. Yu. Tsidulkoab a Novosibirsk State University,
2 Pirogov St., 630090 Novosibirsk, Russia
b Sobolev Institute of Mathematics,
4 Acad. Koptyug Ave., 630090 Novosibirsk, Russia
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. Illustr. 1, bibliogr. 27.
Keywords:
$m$-Peripatetic Salesman Problem, asymptotically optimal algorithm, random inputs, discrete distribution.
Received: 03.08.2016 Revised: 13.10.2016
Citation:
E. Kh. Gimadi, O. Yu. Tsidulko, “An asymptotically optimal algorithm for the $m$-peripatetic salesman problem on random inputs with discrete distribution”, Diskretn. Anal. Issled. Oper., 24:3 (2017), 5–19; J. Appl. Industr. Math., 11:3 (2017), 354–361
Linking options:
https://www.mathnet.ru/eng/da872 https://www.mathnet.ru/eng/da/v24/i3/p5
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Abstract page: | 275 | Full-text PDF : | 55 | References: | 43 | First page: | 7 |
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