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  1. 1
    A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots

    A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots by Wan Daud, Wan Mohd Bukhari, Abu, Nur Syuhadah, Omar, Siti Nashayu, Sohaimeh, Shahirul Ashraf, Adli,, M. H.

    Published 2022
    “…Classical or traditional methods, such as Roadmaps (Visibility Graph and Voronoi Diagram), Potential Fields, and Cell Decomposition, and modern methodologies such as heuristic-based (Dijkstra Method, A* Algorithms, and D* Algorithms), metaheuristics algorithms (such as PSO, Bat Algorithm, ACO, and Genetic Algorithm), and neural systems such as fuzzy neural networks or fuzzy logic (FL) and Artificial Neural Networks (ANN) are described in this report. …”
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  2. 2
    A Robust Graph Theoretic Solution of Routing in Intelligent Networks

    A Robust Graph Theoretic Solution of Routing in Intelligent Networks by Qureshi, M.A., Hassan, M.F., Ehsan, M.K., Khan, M.O., Ali, M.Y., Khan, S.

    Published 2022
    “…That is why a simple and efficient algorithm is the need of the time. …”
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  3. 3
    Utilization of Tabu search heuristic rules in sampling-based motion planning

    Utilization of Tabu search heuristic rules in sampling-based motion planning by Khaksar W., Hong T.S., Sahari K.S.M., Khaksar M.

    Published 2023
    “…We propose a sampling-based algorithm for path planning in unknown environments using Tabu search. …”
    Conference Paper
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  4. 4
    Solving the minimum dominating set problem of partitioned graphs using a hybrid bat algorithm

    Solving the minimum dominating set problem of partitioned graphs using a hybrid bat algorithm by Abed, S.A., Rais, H.M.

    Published 2020
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  5. 5
    New algorithm for autonomous dynamic path planning in real-time intelligent robot car

    New algorithm for autonomous dynamic path planning in real-time intelligent robot car by Mohammed, Akeel Ahmed, Hassan, Mohd Khair, Aris, Ishak, Kamsani, Noor Ain

    Published 2017
    “…Through the use of modified A* algorithm, the optimal path with a minimum cost can be determined and an efficient execution time of moving from a starting location to a target location in a dynamic environment can be achieved. …”
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  6. 6
    Modeling of static and dynamic components of bio-nanorobotic systems

    Modeling of static and dynamic components of bio-nanorobotic systems by Gavgani, Hamidreza Khataee

    Published 2012
    “…The first modeling technique applies graph algorithms to compute a new set of optimal weighted structural properties of C60 and C70 fullerenes. …”
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  7. 7
    Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques

    Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques by Salem S. M. Khalifa

    Published 2024
    “…Fuzzy arithmetic operations on fuzzy numbers and artificial neural networks with a back-propagation learning algorithm were used to represent the structure of the neuro-fuzzy risk assessment model, whereas genetic algorithms were used to develop the safe path selection model. …”
    thesis::doctoral thesis
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  8. 8
    Heuristic factors in ant system algorithm for course timetabling problem

    Heuristic factors in ant system algorithm for course timetabling problem by Djamarus, Djasli, Ku-Mahamud, Ku Ruhana

    Published 2009
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  9. 9
    Mobile robot path planning using hybrid genetic algorithm and traversability vectors method

    Mobile robot path planning using hybrid genetic algorithm and traversability vectors method by Loo, C.K., Rajeswari, M., Wong, E.K., RaoTask, M.V.C.

    Published 2004
    “…However, the genetic algorithm path planning approach in the previous works requires a preprocessing step that captures the connectivity of the free-space in a concise representation. …”
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  10. 10
    A review : On intelligent mobile robot path planning techniques

    A review : On intelligent mobile robot path planning techniques by Muhammad, Aisha, Ali, Mohammad A.H., Shanono, Ibrahim Haruna

    Published 2021
    “…This paper presents a brief review of the intelligent robot navigation methods. …”
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  11. 11
    Hybrid bat algorithm for minimum dominating set problem

    Hybrid bat algorithm for minimum dominating set problem by Abed, S.A., Rais, H.M.

    Published 2017
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  12. 12
    Optimization of Maximum Power Point Tracking (MPPT) of Photovoltaic System using Artificial Intelligence (AI) Algorithms

    Optimization of Maximum Power Point Tracking (MPPT) of Photovoltaic System using Artificial Intelligence (AI) Algorithms by Raal Mandour, Raal

    Published 2013
    “…Studies on the conventional and intelligent algorithms are conducted and a comparison between their efficiencies and drawbacks is presented. …”
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    Final Year Project
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  13. 13
    Implementation of swarm intelligence algorithms on mobile robots

    Implementation of swarm intelligence algorithms on mobile robots by Kong, Zhung Jie

    Published 2017
    “…This thesis focusses on the implementation of swarm intelligence algorithms on multiple mobile robots. A scenario which could be used to display the swarm intelligence behavior is being designed in this thesis. …”
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    Undergraduates Project Papers
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  14. 14
    An intelligent path planning for autonomous mobile robot using modified A* algorithm with hybrid particle swarm optimization-artificial neural network (Not for loan)

    An intelligent path planning for autonomous mobile robot using modified A* algorithm with hybrid particle swarm optimization-artificial neural network (Not for loan) by Mohammed, Aqeel Abdulazeez

    Published 2019
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  15. 15
    Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks

    Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks by Moghanjoughi, Ayyoub Akbari

    Published 2009
    “…Ants’ algorithm belongs to the Swarm Intelligence (SI), which is proposed to find the shortest path. …”
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  16. 16
    A Novel Path Prediction Strategy for Tracking Intelligent Travelers

    A Novel Path Prediction Strategy for Tracking Intelligent Travelers by Motlagh, Omid Reza Esmaeili

    Published 2009
    “…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
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  17. 17
    Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology

    Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology by Zhang, Hongli, Leong, Wai Yie

    Published 2024
    “…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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  18. 18
    False path identification algorithm framework for nonseparable controller-data path circuits

    False path identification algorithm framework for nonseparable controller-data path circuits by Shaheen, A.-U.-R., Hussin, F.A., Hamid, N.H.

    Published 2017
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  19. 19
    Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm

    Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm by Anwar Apandi, Nur Ilyana, Hawari, Mohd Zarifitri Kasim

    Published 2021
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  20. 20
    African Buffalo Optimization (ABO): A New Metaheuristic Algorithm

    African Buffalo Optimization (ABO): A New Metaheuristic Algorithm by Odili, Julius Beneoluchi, M. N. M., Kahar

    Published 2015
    “…The African Buffalo Optimization (A.B.0) algorithm simulates the African buffalos' behaviour by encapsulation in a mathematical model; which solves a number of discrete optimization problems using graph-based route planning, job scheduling and it extends Swarm Intelligence paradigms. …”
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