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Particle swarm against market-based optimisation for obstacle avoidance
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)
2013 (English)In: Electronics Letters, ISSN 0013-5194, E-ISSN 1350-911X, Vol. 49, no 22, p. 1378-1379Article in journal (Refereed) Published
Abstract [en]

A comparison of particle swarm optimisation (PSO) and market-based optimisation (MBO) is presented when applied to obstacle avoidance by mobile robots using artificial potential fields and special traffic rules. Most notably, PSO and MBO are applied to optimise the motion of mobile robots when acting in a common confined workspace. Simulation results show that both methods perform equally well with slight advantage for PSO.

Place, publisher, year, edition, pages
2013. Vol. 49, no 22, p. 1378-1379
Keywords [en]
collision avoidance, mobile robots, particle swarm optimisation, market-based optimisation, obstacle avoidance, MBO, PSO, artificial potential fields, traffic rules, mobile robot motion optimisation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:oru:diva-32534DOI: 10.1049/el.2013.2663ISI: 000326178000011OAI: oai:DiVA.org:oru-32534DiVA, id: diva2:667438
Available from: 2013-11-26 Created: 2013-11-26 Last updated: 2017-12-06Bibliographically approved

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Palm, RainerBouguerra, Abdelbaki

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