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Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm

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dc.citedby8
dc.contributor.authorKrishnan P.S.en_US
dc.contributor.authorPaw J.K.S.en_US
dc.contributor.authorKiong T.S.en_US
dc.contributor.authorid36053261400en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid15128307800en_US
dc.date.accessioned2023-12-29T07:54:23Z
dc.date.available2023-12-29T07:54:23Z
dc.date.issued2009
dc.description.abstractThis paper describes the evolutionary planning strategies for mobile robot to move along the streamlined collision-free paths in a known static environment. The Cognitive Map method is combined with genetic algorithm to derive the mobile robot optimal moving path towards its goal functions. In this study, multi-objectives genetic algorithm (MOGA) is utilized due to there are more than one objective need to be achieved while planning for the robot moving path. Goal-factor and obstacle-factor are the key parameters incorporated in the MOGA fitness functions. The simulation results showed that the hybrid Cognitive Map approach with MOGA is capable of navigating a robot situated among non-moving obstacles. The proposed hybrid method demonstrates good performance in planning and optimizing mobile robot moving path with stationary obstacles and goal. �2009 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo4803970
dc.identifier.doi10.1109/ICARA.2000.4803970
dc.identifier.epage272
dc.identifier.scopus2-s2.0-66149171613
dc.identifier.spage267
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-66149171613&doi=10.1109%2fICARA.2000.4803970&partnerID=40&md5=dc78b03732e526c0dd57a6f2f38321ba
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30841
dc.pagecount5
dc.sourceScopus
dc.sourcetitleICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents
dc.subjectCognitive map approach
dc.subjectMobile robots
dc.subjectMultiple objective genetic algorithm
dc.subjectPath optimization
dc.subjectAutonomous agents
dc.subjectConformal mapping
dc.subjectFunction evaluation
dc.subjectGenetic algorithms
dc.subjectMobile robots
dc.subjectOptimization
dc.subjectCognitive map approach
dc.subjectCognitive maps
dc.subjectCollision-free paths
dc.subjectFitness functions
dc.subjectGoal functions
dc.subjectHybrid method
dc.subjectKey parameters
dc.subjectMoving obstacles
dc.subjectMoving path
dc.subjectMulti objective
dc.subjectMultiple objective genetic algorithm
dc.subjectMultiple objectives
dc.subjectPath optimization
dc.subjectPath optimizations
dc.subjectPlanning strategies
dc.subjectSimulation result
dc.subjectStatic environment
dc.subjectStationary obstacles
dc.subjectNavigation
dc.titleCognitive map approach for mobility path optimization using multiple objectives genetic algorithmen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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