A modified particle swarm optimization algorithm for distributed search and collective cleanup

Jun Li, Zhutian Chen, Yu Liu, Yi Cai, Huaqing Min, Qing Li

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

1 Citation (Scopus)

Abstract

Distributed coordination is critical for a multi-robot system in collective cleanup task under a dynamic environment. In traditional methods, robots easily drop into premature convergence. In this paper, we propose a swarm-intelligence based algorithm to reduce the expectation time for searching targets and removing. We modify the traditional PSO algorithm with a random factor to tackle premature convergence problem, and it can achieve a significant improvement in multi-robot system. The proposed method has been implemented on self-developed simulator for searching task. The simulation results demonstrate the feasibility, robustness, and scalability of our proposed method than previous methods.

Original languageEnglish
Pages137-142
Number of pages6
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes
Event2013 International Joint Conference on Awareness Science and Technology, iCAST 2013 and 6th International Conference on Ubi-Media Computing, UMEDIA 2013 - Aizuwakamatsu, Japan
Duration: 2 Nov 20134 Nov 2013

Conference

Conference2013 International Joint Conference on Awareness Science and Technology, iCAST 2013 and 6th International Conference on Ubi-Media Computing, UMEDIA 2013
CountryJapan
CityAizuwakamatsu
Period2/11/134/11/13

ASJC Scopus subject areas

  • Software

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