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- Palm, RainerÖrebro universitet,Institutionen för naturvetenskap och teknik,AASS (author)
Particle swarm against market-based optimisation for obstacle avoidance
- Article/chapterEnglish2013
Publisher, publication year, extent ...
- 2013-10
- Institution of Engineering and Technology (IET),2013
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:oru-32534
- https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-32534URI
- https://doi.org/10.1049/el.2013.2663DOI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- 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.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Datorseende och robotik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Computer Vision and Robotics hsv//eng
- NATURVETENSKAP Data- och informationsvetenskap Datavetenskap hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Computer Sciences hsv//eng
- collision avoidance
- mobile robots
- particle swarm optimisation
- market-based optimisation
- obstacle avoidance
- MBO
- PSO
- artificial potential fields
- traffic rules
- mobile robot motion optimisation
Added entries (persons, corporate bodies, meetings, titles ...)
- Bouguerra, AbdelbakiÖrebro universitet,Institutionen för naturvetenskap och teknik,AASS(Swepub:oru)aba (author)
- Örebro universitetInstitutionen för naturvetenskap och teknik (creator_code:org_t)
Related titles
- In:Electronics Letters: Institution of Engineering and Technology (IET)49:22, s. 1378-13790013-51941350-911X
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