Robotics; Studies from Multimedia University update current data on robotics

A. Atyabi, (2010) Robotics; Studies from Multimedia University update current data on robotics. Journal of Robotics & Machine Learning. p. 43. ISSN 1944-1851

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Abstract

The researchers concluded: "As shown by the results, AEPSO achieves an appreciable level of performance in dynamic, time-dependence and uncertain simulated environments and outperforms the variations of basic PSO, Linear Search and Random Search used in the simulations."

Item Type: Article
Subjects: T Technology > TJ Mechanical Engineering and Machinery
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 01 Oct 2013 01:33
Last Modified: 01 Oct 2013 01:33
URI: http://shdl.mmu.edu.my/id/eprint/4183

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