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A Meta-Heuristic Paradigm for solving the Forward Kinematics of 6-6 General Parallel Manipulator
Date
2009-12-18
Author
Chandra, Rohitash
Frean, Marcus
Rolland, Luc
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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The forward kinematics of the general Gough platform, namely the 6-6 parallel manipulator is solved using hybrid meta-heuristic techniques in which the simulated annealing algorithm replaces the mutation operator in a genetic algorithm. The results are compared with the standard simulated annealing and genetic algorithm. It shows that the standard simulated annealing algorithm outperforms standard genetic algorithm in terms of computation time and overall accuracy of the solution on this problem. However, the hybrid meta-heuristic paradigm shows the best performance in terms of accuracy and success rate.
Subject Keywords
Neural-network
,
Tabu-search
,
Optimization
,
Algorithms
,
Performance
URI
https://hdl.handle.net/11511/66922
Collections
Department of Computer Engineering, Conference / Seminar
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R. Chandra, M. Frean, and L. Rolland, “A Meta-Heuristic Paradigm for solving the Forward Kinematics of 6-6 General Parallel Manipulator,” 2009, p. 171, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66922.