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Solution of inverse kinematics problem using genetic algorithms
, Abo-Hammour Z.S., Alsmadi O.M.K.
Published in Natural Sciences Publishing USA
2016
Volume: 10
   
Issue: 1
Pages: 225 - 233
Abstract
In this paper, the solution of inverse kinematics problem of robot manipulators using genetic algorithms (GA) is presented. Two versions of genetic algorithms are used which include the conventional GA and the continuous GA. The inverse kinematics problem is formulated as an optimization problem based on the concept of minimizing the accumulative path deviation in the absence of any obstacles in the workspace. Simulation results show that the continuous GA outperforms the conventional GA from all aspects. The superiority of the continuous GA is seen in that it will always provide smooth and faster solutions as compared with the conventional GA. © 2016 NSP Natural Sciences Publishing Cor.
About the journal
JournalApplied Mathematics and Information Sciences
PublisherNatural Sciences Publishing USA
ISSN19350090
Open AccessNo