Enhanced Methods for the Weight Constrained Shortest Path Problem
- URL: http://arxiv.org/abs/2207.14744v2
- Date: Fri, 30 Jun 2023 04:25:12 GMT
- Title: Enhanced Methods for the Weight Constrained Shortest Path Problem
- Authors: Saman Ahmadi, Guido Tack, Daniel Harabor, Philip Kilby, Mahdi Jalili
- Abstract summary: The Weight Constrained Shortest Path Problem (WCSPP) is a well-studied, yet challenging, topic in AI.
This paper presents two new solution approaches to the WCSPP on the basis of A* search.
We empirically evaluate the performance of our algorithms on a set of large and realistic problem instances.
- Score: 18.567812400186092
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The classic problem of constrained pathfinding is a well-studied, yet
challenging, topic in AI with a broad range of applications in various areas
such as communication and transportation. The Weight Constrained Shortest Path
Problem (WCSPP), the base form of constrained pathfinding with only one side
constraint, aims to plan a cost-optimum path with limited weight/resource
usage. Given the bi-criteria nature of the problem (i.e., dealing with the cost
and weight of paths), methods addressing the WCSPP have some common properties
with bi-objective search. This paper leverages the recent state-of-the-art
techniques in both constrained pathfinding and bi-objective search and presents
two new solution approaches to the WCSPP on the basis of A* search, both
capable of solving hard WCSPP instances on very large graphs. We empirically
evaluate the performance of our algorithms on a set of large and realistic
problem instances and show their advantages over the state-of-the-art
algorithms in both time and space metrics. This paper also investigates the
importance of priority queues in constrained search with A*. We show with
extensive experiments on both realistic and randomised graphs how bucket-based
queues without tie-breaking can effectively improve the algorithmic performance
of exhaustive A*-based bi-criteria searches.
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