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Global – local population memetic algorithm for solving the forward kinematics of parallel manipulators

Chandra, Rohitash and Luc, R. (2015) Global – local population memetic algorithm for solving the forward kinematics of parallel manipulators. Connection Science, 27 . pp. 1-18. ISSN 0954-0091

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    Abstract

    Memetic algorithms (MA) are evolutionary computation methods that employ local search to selected individuals of the population. This work presents global–local population MA for solving the forward kinematics of parallel manipulators. A real-coded generation algorithm with features of diversity is used in the global population and an evolutionary algorithm with parent-centric crossover operator which has local search features is used in the local population. The forward kinematics of the 3RPR and 6–6 leg manipulators are examined to test the performance of the proposed method. The results show that the proposed method improves the performance of the real-coded genetic algorithm and can obtain high-quality solutions similar to the previous methods for the 6–6 leg manipulator. The accuracy of the solutions and the optimisation time achieved by the methods in this work motivates for real-time implementation of the 3RPR parallel manipulator.

    Item Type: Journal Article
    Additional Information: Published online and Print
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
    Depositing User: Rohitash Chandra
    Date Deposited: 24 Sep 2014 12:15
    Last Modified: 26 Apr 2016 14:36
    URI: http://repository.usp.ac.fj/id/eprint/7632
    UNSPECIFIED

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