Frequency-based multi-agent patrolling model and its area partitioning solution method for balanced workload

Vourchteang Sea, Ayumi Sugiyama, Toshiharu Sugawara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Multi-agent patrolling problem has received growing attention from many researchers due to its wide range of potential applications. In realistic environment, e.g., security patrolling, each location has different visitation requirement according to the required security level. Therefore, a patrolling system with non-uniform visiting frequency is preferable. The difference in visiting frequency generally causes imbalanced workload amongst agents leading to inefficiency. This paper, thus, aims at partitioning a given area to balance agents’ workload by considering that different visiting frequency and then generating route inside each sub-area. We formulate the problem of frequency-based multi-agent patrolling and propose its semi-optimal solution method, whose overall process consists of two steps – graph partitioning and sub-graph patrolling. Our work improve traditional k-means clustering algorithm by formulating a new objective function and combine it with simulated annealing – a useful tool for operations research. Experimental results illustrated the effectiveness and reasonable computational efficiency of our approach.

Original languageEnglish
Title of host publicationIntegration of Constraint Programming, Artificial Intelligence, and Operations Research - 15th International Conference, CPAIOR 2018, Proceedings
EditorsWillem -Jan van Hoeve
PublisherSpringer Verlag
Pages530-545
Number of pages16
ISBN (Print)9783319930305
DOIs
Publication statusPublished - 2018
Event15th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2018 - Delft, Netherlands
Duration: 2018 Jun 262018 Jun 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10848 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2018
Country/TerritoryNetherlands
CityDelft
Period18/6/2618/6/29

Keywords

  • Balanced workload
  • Frequency-based patrolling
  • Graph partitioning
  • Linear programming
  • Multi-agent systems
  • Simulated annealing
  • k-means based

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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