Uninformed pathfinding: A new approach

Kai Li Lim*, Kah Phooi Seng, Lee Seng Yeong, Li Minn Ang, Sue Inn Ch'Ng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

This paper presents a new pathfinding algorithm called the boundary iterative-deepening depth-first search (BIDDFS) algorithm. The BIDDFS compromises the increasing memory usage of the Dijkstra's algorithm, where the memory clears enables the BIDDFS to consume less memory than the Dijkstra's algorithm. The expansion redundancy of the iterative-deepening depth-first search (IDDFS) is also compensated; it is faster than the IDDFS in all of the testing instances conducted. The BIDDFS is further enhanced for bidirectional searching to allow expanding to fewer nodes and reducing pathfinding time. The bidirectional BIDDFS and the parallel bidirectional BIDDFS are also proposed. The proposed BIDDFS is further extended to the multi-goal BIDDFS, which is able to search for multiple goals present on the map in a single search. Simulation examples and comparisons have revealed the good performance of the proposed algorithms.

Original languageEnglish
Pages (from-to)2722-2730
Number of pages9
JournalExpert Systems with Applications
Volume42
Issue number5
DOIs
Publication statusPublished - 1 Apr 2015
Externally publishedYes

Keywords

  • Bidirectional search
  • Multi-goal search
  • Parallel search
  • Pathfinding
  • Uninformed search

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