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Volume 28, No 2, 2021, P. 35-59
UDC 519.8+518.25
I. N. Kulachenko and P. A. Kononova
A hybrid algorithm for the drilling rig routing problem
Abstract:
In this research, the drilling rig routing problem is studied. There is a set of objects requiring well-drilling work. Each object has a time window that is the time interval during which all the work has to be started and completed. Several drilling rigs can operate at the same object simultaneously, which makes it possible to speed up the work. The objective is to determine a set of routes for a fleet of drilling rigs to perform all well-drilling requests on time and with minimal traveling costs.
The mixed-integer linear programming (MILP) model is presented for this problem. To find a feasible solution we use the Variable Neighborhood Search (VNS) metaheuristic. The algorithm also includes solving an MILP subproblem to redistribute the well-drilling work. This approach combines advantages of both the exact and heuristic methods. We present the results of comparison of the algorithm with Gurobi and alternative VNS schemes.
Tab. 3, illustr. 1, bibliogr. 30.
Keywords: uncapacitated vehicles, matheuristic, split delivery service, time windows.
DOI: 10.33048/daio.2021.28.703
Igor N. Kulachenko 1,2
Polina A. Kononova 1,2
1. Novosibirsk State University,
2 Pirogov St., 630090 Novosibirsk, Russia
2. Sobolev Institute of Mathematics,
4 Koptyug Ave., 630090 Novosibirsk, Russia
e-mail: soge.ink@gmail.com, pkononova@math.nsc.ru
Received November 13, 2020
Revised February 15, 2021
Accepted February 17, 2021
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