Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes

Jongeun Choi, Joonho Lee, Songhwai Oh

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

33 Citations (Scopus)

Abstract

This paper presents a novel class of self-organizing multi-agent systems that form a swarm and learn a spatiotemporal process through noisy measurements from neighbors for various global goals. The physical spatio-temporal process of interest is modeled by a spatio-temporal Gaussian process. Each agent maintains its own posterior predictive statistics of the Gaussian process based on measurements from neighbors. A set of biologically inspired navigation strategies are identified from the posterior predictive statistics. A unified way to prescribe a global goal for the group of agents is presented. A reference trajectory state that guides agents to achieve the maximum of the objective function is proposed. A switching protocol is proposed for achieving the global maximum of a spatiotemporal Gaussian process over the surveillance region. The usefulness of the proposed multi-agent system with respect to various global goals is demonstrated by several numerical examples.

Original languageEnglish
Title of host publication2008 American Control Conference, ACC
Pages135-140
Number of pages6
DOIs
Publication statusPublished - 2008 Sep 30
Event2008 American Control Conference, ACC - Seattle, WA, United States
Duration: 2008 Jun 112008 Jun 13

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2008 American Control Conference, ACC
CountryUnited States
CitySeattle, WA
Period08/6/1108/6/13

Fingerprint

Multi agent systems
Statistics
Navigation
Trajectories
Swarm intelligence

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Choi, J., Lee, J., & Oh, S. (2008). Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes. In 2008 American Control Conference, ACC (pp. 135-140). [4586480] (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2008.4586480
Choi, Jongeun ; Lee, Joonho ; Oh, Songhwai. / Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes. 2008 American Control Conference, ACC. 2008. pp. 135-140 (Proceedings of the American Control Conference).
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Choi, J, Lee, J & Oh, S 2008, Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes. in 2008 American Control Conference, ACC., 4586480, Proceedings of the American Control Conference, pp. 135-140, 2008 American Control Conference, ACC, Seattle, WA, United States, 08/6/11. https://doi.org/10.1109/ACC.2008.4586480

Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes. / Choi, Jongeun; Lee, Joonho; Oh, Songhwai.

2008 American Control Conference, ACC. 2008. p. 135-140 4586480 (Proceedings of the American Control Conference).

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

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Choi J, Lee J, Oh S. Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes. In 2008 American Control Conference, ACC. 2008. p. 135-140. 4586480. (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2008.4586480