Ranked pareto particle swarm optimization for mobile robot motion planning

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dc.contributor.author Wang, D
dc.contributor.author Kwok, N
dc.contributor.author Liu, D
dc.contributor.author Ha, QP
dc.contributor.editor Liu, D
dc.contributor.editor Wang, L
dc.contributor.editor Tan, KC
dc.date.accessioned 2010-05-28T09:38:27Z
dc.date.issued 2009-01
dc.identifier.citation Design and Control of Intelligent Robotic Systems, 2009, 2009, pp. 97 - 118
dc.identifier.isbn 978-3-540-89932-7
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/7878
dc.description.abstract The Force Field (F 2) method is a novel approach for multi-robot motion planning and coordination. The setting of parameters in the (F 2) method, noticeably, can affect its performance. In this research, we present the Ranked Pareto Particle Swarm Optimization (RPPSO) approach as an extension of the basic idea of Particle Swarm Optimization (PSO), which makes it capable of solving multiobjective optimization problems efficiently. In the RPPSO, particles are initiated randomly in the search space; these particles are then evaluated for their qualities with regard to all objectives. Those particles with highly-ranked qualities have preferences to enter the set of Global Best vectors, which stores many currently best solutions found by particles. Thus, particles in RPPSO will search towards many possible directions and the diversity among solutions is well preserved. Ideally, a set of optimal solutions will be found when the termination criterion is met. The effectiveness of the proposed RPPSO is verified in simulation studies. Satisfactory results are obtained for multiobjective optimization problems of multi-robot motion planning in challenging environments with obstacles.
dc.publisher Springer
dc.relation.isbasedon 10.1007/978-3-540-89933-4_5
dc.title Ranked pareto particle swarm optimization for mobile robot motion planning
dc.type Chapter
dc.description.version Published
dc.parent Design and Control of Intelligent Robotic Systems
dc.journal.number en_US
dc.publocation Springer-Verlag Berlin Heidelberg en_US
dc.identifier.startpage 97 en_US
dc.identifier.endpage 118 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 090602 Control Systems, Robotics and Automation
dc.personcode 000350
dc.personcode 000935
dc.personcode 995424
dc.personcode 105612
dc.percentage 100 en_US
dc.classification.name Control Systems, Robotics and Automation en_US
dc.classification.type FOR-08 en_US
dc.edition 2009 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords NA en_US
dc.description.keywords Science & Technology
dc.description.keywords Life Sciences & Biomedicine
dc.description.keywords Nursing
dc.description.keywords Obstetrics & Gynecology
dc.description.keywords Pediatrics
dc.description.keywords NURSING, SCI
dc.description.keywords NURSING, SSCI
dc.description.keywords OBSTETRICS & GYNECOLOGY
dc.description.keywords PEDIATRICS
dc.description.keywords family-centered care
dc.description.keywords inhibitive nursing interactions
dc.description.keywords mother relationship
dc.description.keywords mothering
dc.description.keywords neonatal intensive care
dc.description.keywords neonatal nursing
dc.description.keywords nurse-mother relationship
dc.description.keywords nursing roles
dc.description.keywords parents
dc.description.keywords INTENSIVE-CARE UNIT
dc.description.keywords INTERVENTION
dc.description.keywords ANGER
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
pubs.organisational-group /University of Technology Sydney/Strength - Built Infrastructure
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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