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Memorized Rapidly Exploring Random Tree Optimization (MRRTO): An Enhanced Algorithm for Robot Path Planning Cover

Memorized Rapidly Exploring Random Tree Optimization (MRRTO): An Enhanced Algorithm for Robot Path Planning

Cybernetics and Information Technologies
Volume 24 (2024): Issue 1 (March 2024)
By: Dena Kadhim Muhsen,  Ahmed T. Sadiq and  Firas Abdulrazzaq Raheem  
Open Access
|Mar 2024
Authors

Authors

Dena Kadhim Muhsen

dena.k.muhsen@uotechnology.edu.iq

Computer Science Department, University of Technology – Iraq, Baghdad, Iraq

Ahmed T. Sadiq

ahmed.t.sadiq@uotechnology.edu.iq

Computer Science Department, University of Technology – Iraq, Baghdad, Iraq

Firas Abdulrazzaq Raheem

Firas.A.Raheem@uotechnology.edu.iq

Control and Systems Engineering Department, University of Technology – Iraq, Baghdad, Iraq
DOI: https://doi.org/10.2478/cait-2024-0011 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 190 - 204
Submitted on: Jan 22, 2024
Accepted on: Feb 7, 2024
Published on: Mar 23, 2024
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Robot path planning,
Rapidly exploring random tree,
Memorized RRT Optimization Algorithm,
Sampling-based method,
Metaheuristic Algorithm
Related subjects:
Computer sciences,
Information technology

© 2024 Dena Kadhim Muhsen, Ahmed T. Sadiq, Firas Abdulrazzaq Raheem, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 24 (2024): Issue 1 (March 2024)
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