Genetic algorithms for auto-tuning mobile robot motion control

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dc.contributor.authorMessom, Chris
dc.date.accessioned2013-05-08T04:24:38Z
dc.date.available2013-05-08T04:24:38Z
dc.date.issued2002
dc.description.abstractThis paper discusses a genetic algorithm (GA) based method for automatically tuning mobile robot motion controllers. The genetic algorithm evolves a controller that is optimised for a given performance measure. Genetic algorithms require a mapping from the genetic code to an implementation. This translation between the chromosome and the implementation allows the use of standard GA libraries, however the assumption constrains the types of problems that can be solved.en
dc.identifier.citationMessom, C. (2002), Genetic algorithms for auto-tuning mobile robot motion control, Research Letters in the Information and Mathematical Sciences, 3, 129-134en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4366
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectMobile robotsen
dc.subjectRobot motion controllersen
dc.subjectGenetic algorithmen
dc.titleGenetic algorithms for auto-tuning mobile robot motion controlen
dc.typeArticleen
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Research Letters in the Information and Mathematical Sciences