Abstract The one-period bus touring problem – also referred to as simply the bus touring problem (BTP) – objective is to maximize the total attractiveness of the tour by selecting a subset of sites to be visited and scenic routes to be traveled – both having associated non-negative attractivity values – given the geographic frame considerations and constraints on touring time, cost and/or total distance. The integer linear-programming model developed to derive an optimal bus touring solution for the BTP is not practical for such a NP-complete problem. A similar NP-hard problem is the orienteering tour problem (OTP) in which the identical start and end point is specified along with other locations having associated scores. Competitors seek to visit in a fixed amount of time, a subset of locations in order to maximize the total score. This paper presents a transformation from the BTP to the OTP and illustrates the use of an effective heuristic for the OTP together with an improvement process, aimed at generating a fast near-optimal BTP solution. The results of 11 bus touring problems are presented.
[1]
Mark H. Karwan,et al.
An Optimal Algorithm for the Orienteering Tour Problem
,
1992,
INFORMS J. Comput..
[2]
M. G. Kantor,et al.
The Orienteering Problem with Time Windows
,
1992
.
[3]
B. Golden,et al.
A multifaceted heuristic for the orienteering problem
,
1988
.
[4]
Ray Deitch,et al.
Determination of optimal one-period tourist bus tours with identical starting and terminal points
,
2001,
Int. J. Serv. Technol. Manag..
[5]
T. Tsiligirides,et al.
Heuristic Methods Applied to Orienteering
,
1984
.
[6]
Qiwen Wang,et al.
Using artificial neural networks to solve the orienteering problem
,
1995,
Ann. Oper. Res..
[7]
Colin Hunter,et al.
Application of the Delphi technique in tourism
,
1990
.
[8]
Shaul P. Ladany.
Optimal Tourist Bus Tours
,
1999
.
[9]
R. Vohra,et al.
The Orienteering Problem
,
1987
.