6533b823fe1ef96bd127e3dc
RESEARCH PRODUCT
GRASP with path relinking for the orienteering problem
Abraham DuarteRafael MartíJesús Sánchez-oroVicente Campossubject
MarketingMathematical optimization021103 operations researchOptimization problembusiness.industryHeuristic (computer science)Strategy and Management0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchTravelling salesman problemManagement Information SystemsKnapsack problemShortest path problem0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingLocal search (optimization)businessMetaheuristicGreedy randomized adaptive search procedureMathematicsdescription
In this paper, we address an optimization problem resulting from the combination of the well-known travelling salesman and knapsack problems. In particular, we target the orienteering problem, originated in the context of sport, which consists of maximizing the total score associated with the vertices visited in a path within the available time. The problem, also known as the selective travelling salesman problem, is NP-hard and can be formulated as an integer linear program. Since the 1980s, several solution methods for this problem have been developed and applied to a variety of fields, particularly in routing and tourism. We propose a heuristic method—based on the Greedy Randomized Adaptive Search Procedure (GRASP) and the Path Relinking methodologies—for finding approximate solutions to this optimization problem. We explore different constructive methods and combine two neighbourhoods in the local search of GRASP. Our experimentation with 196 previously reported instances shows that the proposed procedure obtains high-quality solutions employing short computing times.
year | journal | country | edition | language |
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2014-12-01 | Journal of the Operational Research Society |