Research output: Contribution to journal › Article › peer-review
An asymptotically optimal algorithm for the m-Peripatetic Salesman Problem on random inputs with discrete distribution. / Gimadi, E. Kh; Tsidulko, O. Yu.
In: Journal of Applied and Industrial Mathematics, Vol. 11, No. 3, 01.07.2017, p. 354-361.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - An asymptotically optimal algorithm for the m-Peripatetic Salesman Problem on random inputs with discrete distribution
AU - Gimadi, E. Kh
AU - Tsidulko, O. Yu
N1 - Publisher Copyright: © 2017, Pleiades Publishing, Ltd.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - 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.
AB - 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.
KW - asymptotically optimal algorithm
KW - discrete distribution
KW - m-Peripatetic Salesman Problem
KW - random inputs
UR - http://www.scopus.com/inward/record.url?scp=85028554513&partnerID=8YFLogxK
U2 - 10.1134/S1990478917030061
DO - 10.1134/S1990478917030061
M3 - Article
AN - SCOPUS:85028554513
VL - 11
SP - 354
EP - 361
JO - Journal of Applied and Industrial Mathematics
JF - Journal of Applied and Industrial Mathematics
SN - 1990-4789
IS - 3
ER -
ID: 9918548