Fitting membership function with PSO inertia weight for truck backer-upper problem
In this paper, optimization is utilized for fuzzy control system that automatically backs up a truck to a specified point on a loading dock. Particle Swarm Optimization with Inertia Weight (FPSOw) is used to fit the membership function of fuzzy system in searching for better decision. From the simul...
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my.utm.144342011-08-26T05:04:27Z http://eprints.utm.my/id/eprint/14434/ Fitting membership function with PSO inertia weight for truck backer-upper problem Mohd. Hashim, Siti Zaiton Permana, Kurniawan Eka QA75 Electronic computers. Computer science In this paper, optimization is utilized for fuzzy control system that automatically backs up a truck to a specified point on a loading dock. Particle Swarm Optimization with Inertia Weight (FPSOw) is used to fit the membership function of fuzzy system in searching for better decision. From the simulation conducted, it shows that the FPSOw is able to generate an optimal set of parameter for the fuzzy membership functions automatic adjustment and then the adjusted fuzzy system achieve better position for Truck Backer-Upper result. IEEE 2009 Book Section PeerReviewed Mohd. Hashim, Siti Zaiton and Permana, Kurniawan Eka (2009) Fitting membership function with PSO inertia weight for truck backer-upper problem. In: 2009 Third Asia International Conference on Modelling & Simulation. Article number 5071952 . IEEE, pp. 25-28. ISBN 978-076953648-4 http://dx.doi.org/10.1109/AMS.2009.131 doi:10.1109/AMS.2009.131 |
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QA75 Electronic computers. Computer science Mohd. Hashim, Siti Zaiton Permana, Kurniawan Eka Fitting membership function with PSO inertia weight for truck backer-upper problem |
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In this paper, optimization is utilized for fuzzy control system that automatically backs up a truck to a specified point on a loading dock. Particle Swarm Optimization with Inertia Weight (FPSOw) is used to fit the membership function of fuzzy system in searching for better decision. From the simulation conducted, it shows that the FPSOw is able to generate an optimal set of parameter for the fuzzy membership functions automatic adjustment and then the adjusted fuzzy system achieve better position for Truck Backer-Upper result.
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Mohd. Hashim, Siti Zaiton Permana, Kurniawan Eka |
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Mohd. Hashim, Siti Zaiton Permana, Kurniawan Eka |
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Mohd. Hashim, Siti Zaiton |
title |
Fitting membership function with PSO inertia weight for truck backer-upper problem |
title_short |
Fitting membership function with PSO inertia weight for truck backer-upper problem |
title_full |
Fitting membership function with PSO inertia weight for truck backer-upper problem |
title_fullStr |
Fitting membership function with PSO inertia weight for truck backer-upper problem |
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Fitting membership function with PSO inertia weight for truck backer-upper problem |
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fitting membership function with pso inertia weight for truck backer-upper problem |
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IEEE |
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2009 |
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http://eprints.utm.my/id/eprint/14434/ http://dx.doi.org/10.1109/AMS.2009.131 |
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13.211869 |