Solving the longest simple path problem with heuristic search

Yossi Cohen; Roni Stern; Ariel Felner

doi:10.1609/icaps.v30i1.6647

Solving the longest simple path problem with heuristic search

Yossi Cohen
, Roni Stern
, Ariel Felner

Research output: Contribution to journal › Conference article › peer-review

9 Scopus citations

Abstract

Prior approaches for finding the longest simple path (LSP) in a graph used constraints solvers and genetic algorithms. In this work, we solve the LSP problem with heuristic search. We first introduce several methods for pruning dominated path prefixes. Then, we propose several admissible heuristic functions for this problem. Experimental results demonstrate the large impact of the proposed heuristics and pruning rules.

Original language	English
Pages (from-to)	75-79
Number of pages	5
Journal	Proceedings International Conference on Automated Planning and Scheduling, ICAPS
Volume	30
DOIs	https://doi.org/10.1609/icaps.v30i1.6647
State	Published - 29 May 2020
Event	30th International Conference on Automated Planning and Scheduling, ICAPS 2020 - Nancy, France Duration: 26 Oct 2020 → 30 Oct 2020

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Information Systems and Management

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10.1609/icaps.v30i1.6647

Cite this

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abstract = "Prior approaches for finding the longest simple path (LSP) in a graph used constraints solvers and genetic algorithms. In this work, we solve the LSP problem with heuristic search. We first introduce several methods for pruning dominated path prefixes. Then, we propose several admissible heuristic functions for this problem. Experimental results demonstrate the large impact of the proposed heuristics and pruning rules.",

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AU - Stern, Roni

AU - Felner, Ariel

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N2 - Prior approaches for finding the longest simple path (LSP) in a graph used constraints solvers and genetic algorithms. In this work, we solve the LSP problem with heuristic search. We first introduce several methods for pruning dominated path prefixes. Then, we propose several admissible heuristic functions for this problem. Experimental results demonstrate the large impact of the proposed heuristics and pruning rules.

AB - Prior approaches for finding the longest simple path (LSP) in a graph used constraints solvers and genetic algorithms. In this work, we solve the LSP problem with heuristic search. We first introduce several methods for pruning dominated path prefixes. Then, we propose several admissible heuristic functions for this problem. Experimental results demonstrate the large impact of the proposed heuristics and pruning rules.

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U2 - 10.1609/icaps.v30i1.6647

DO - 10.1609/icaps.v30i1.6647

M3 - Conference article

AN - SCOPUS:85088506019

SN - 2334-0835

VL - 30

SP - 75

EP - 79

JO - Proceedings International Conference on Automated Planning and Scheduling, ICAPS

JF - Proceedings International Conference on Automated Planning and Scheduling, ICAPS

T2 - 30th International Conference on Automated Planning and Scheduling, ICAPS 2020

Y2 - 26 October 2020 through 30 October 2020

ER -

Solving the longest simple path problem with heuristic search

Abstract

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