TLBO-Based Adaptive Neurofuzzy Controller for Mobile Robot Navigation in a Strange Environment
Joint Authors
Aouf, Awatef
Boussaid, Lotfi
Sakly, Anis
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This work investigates the possibility of using a novel evolutionary based technique as a solution for the navigation problem of a mobile robot in a strange environment which is based on Teaching-Learning-Based Optimization.
TLBO is employed to train the parameters of ANFIS structure for optimal trajectory and minimum travelling time to reach the goal.
The obtained results using the suggested algorithm are validated by comparison with different results from other intelligent algorithms such as particle swarm optimization (PSO), invasive weed optimization (IWO), and biogeography-based optimization (BBO).
At the end, the quality of the obtained results extracted from simulations affirms TLBO-based ANFIS as an efficient alternative method for solving the navigation problem of the mobile robot.
American Psychological Association (APA)
Aouf, Awatef& Boussaid, Lotfi& Sakly, Anis. 2018. TLBO-Based Adaptive Neurofuzzy Controller for Mobile Robot Navigation in a Strange Environment. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130657
Modern Language Association (MLA)
Aouf, Awatef…[et al.]. TLBO-Based Adaptive Neurofuzzy Controller for Mobile Robot Navigation in a Strange Environment. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1130657
American Medical Association (AMA)
Aouf, Awatef& Boussaid, Lotfi& Sakly, Anis. TLBO-Based Adaptive Neurofuzzy Controller for Mobile Robot Navigation in a Strange Environment. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130657
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130657