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  1. 1
    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments

    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments by Khaksar, Weria

    Published 2013
    “…Finally, an adaptive neuro-fuzzy inference system (ANFIS) was designed which constructs and optimizes a fuzzy logic controller using a given dataset of input/output variables in order to increase the optimality and stability rates of the proposed path planning algorithm. …”
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  2. 2
    Multi-robot path planning based on the improved nutcracker optimization algorithm and the dynamic window approach

    Multi-robot path planning based on the improved nutcracker optimization algorithm and the dynamic window approach by Zhao, Jiangrong, Ding, Hongwei, Zhu, Yuanjing, Yang, Zhijun, Hu, Peng, Wang, Zongshan

    Published 2024
    “…This paper proposes a multi-robot path planning algorithm that integrates the improved nutcracker optimization algorithm with the improved dynamic window approach. …”
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  3. 3
    Development of an improved GWO algorithm for solving optimal paths in complex vertical farms with multi-robot multi-tasking

    Development of an improved GWO algorithm for solving optimal paths in complex vertical farms with multi-robot multi-tasking by Shen, Jiazheng, Hong, Tang Sai, Fan, Luxin, Zhao, Ruixin, Mohd Ariffin, Mohd Khairol Anuar, As’arry, Azizan

    Published 2024
    “…The EPDE-GWO algorithm is compared with Genetic Algorithm (GA), Simulated Annealing (SA), Dung Beetle Optimizer (DBO), and Particle Swarm Optimization (PSO). …”
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  4. 4
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Ali, Rabei Raad Ali, Noor Nabeel, Noor Nabeel

    Published 2023
    “…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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  5. 5
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Ali, Rabei Raad Ali, Noor Nabeel, Noor Nabeel, Wisam Subhi Al-Dayyeni, Wisam Subhi Al-Dayyeni, Hashim Abbas, Fatima, Muhi Hariz, Hussein, A Mostafa, Salama, Jubair, Mohammed Ahmed

    Published 2023
    “…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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  6. 6
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Ali, Rabei Raad Ali, Noor Nabeel, Noor Nabeel, Al-Dayyeni, Wisam Subhi, Hashim Abbas, Fatima, Muhi Hariz, Hussein, A Mostafa, Salama, Jubair, Mohammed Ahmed

    Published 2023
    “…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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  7. 7
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Al, Rabei Raad Al, Noor Nabeel, Noor Nabeel, Wisam Subhi Al-Dayyeni4, Wisam Subhi Al-Dayyeni4, Hashim Abbas, Fatima, Muhi Hariz, Hussein, A Mostafa, Salama, Jubair, Mohammed Ahmed

    Published 2023
    “…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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  8. 8
    An adaptive relay selection scheme for enhancing network stability in VANETs

    An adaptive relay selection scheme for enhancing network stability in VANETs by Al-Kharasani, Ameen Mohammed Abdulkarem, Ahmad Zukarnain, Zuriati, Subramaniam, Shamala, Mohd Hanapi, Zurina

    Published 2020
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  9. 9
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Al, Rabei Raad Al, Noor Nabeel, Noor Nabeel, Wisam Subhi Al-Dayyeni, Wisam Subhi Al-Dayyeni, Fatima Hashim Abbas, Fatima Hashim Abbas, Hussein Muhi Hariz, Hussein Muhi Hariz, Salama A Mostafa, Salama A Mostafa, Mohammed Ahmed Jubair, Mohammed Ahmed Jubair

    Published 2023
    “…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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  10. 10
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Ali, Rabei Raad Ali, Noor Nabeel, Noor Nabeel, Wisam Subhi Al-Dayyeni, Wisam Subhi Al-Dayyeni, Fatima Hashim Abbas, Fatima Hashim Abbas, Hussein Muhi Hariz, Hussein Muhi Hariz, Salama A Mostafa, Salama A Mostafa, Mohammed Ahmed Jubair, Mohammed Ahmed Jubair

    Published 2023
    “…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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  11. 11
    Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network

    Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network by Al-Kharasani, Nori Mohammed Abdulkarem

    Published 2020
    “…The proposed Quality of Path QoP metric is incorporated into the modified relay selection algorithm, which improves the efficiency of relay selection mechanism to find optimal path with high link quality. …”
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  12. 12
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
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  13. 13
    New robot navigation algorithm for arbitrary unknown dynamic environments based on future prediction and priority behavior

    New robot navigation algorithm for arbitrary unknown dynamic environments based on future prediction and priority behavior by Tang, Sai Hong, Kamil, Farah, Zulkifli, Norzima, Ahmad, Siti Azfanizam, Khaksar, Weria, Moghrabiah, Mohammed Yasser

    Published 2017
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  14. 14
    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation

    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation by Muslim, Farah Kamil Abid

    Published 2017
    “…The present algorithm exhibits attractive features such as high optimality, high stability, low running cost and zero failure rates. …”
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  15. 15
    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments

    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

    Published 2006
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  16. 16
    DEVELOPMENT OF INTELLIGENT CONTROLLER FOR TRAFFIC LIGHTS WITH DYNAMIC PHASE ARRANGEMENT FOR SINGLE-ISOLATED INTERSECTIONS

    DEVELOPMENT OF INTELLIGENT CONTROLLER FOR TRAFFIC LIGHTS WITH DYNAMIC PHASE ARRANGEMENT FOR SINGLE-ISOLATED INTERSECTIONS by KAMAL ABBAS, MAYTHEM AL-ADILI

    Published 2014
    “…The first decision made by the controlling algorithm was the sequence priority. This algorithm expands the Djikestra's shortest path algorithm to choose the optimal dual-green-phase to be operated at a moment of time.…”
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  17. 17
    Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system

    Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system by Khaksar, Weria, Tang, Sai Hong, Mohamed Sahari, Khairul Salleh, Khaksar, Mansoor, Toressen, Jim

    Published 2019
    “…In this paper, a novel sampling-based algorithm is proposed which is able to plan in an unknown environment and provides solutions with lower cost in terms of path length, runtime and stability of the results. …”
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  18. 18
    An Educational Tool Aimed at Learning Metaheuristics

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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  19. 19
    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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  20. 20
    Hybrid LTE-VANETs Based Optimal Radio Access Selection

    Hybrid LTE-VANETs Based Optimal Radio Access Selection by Ayoob, Ayoob A., Su, Gang, Wang, Desheng, Mohammed, Muamer N., Hammood, Omar A.

    Published 2018
    “…In road networks, the mutual metric for the location of the optimal route relaying on two points is either the length of the path or the time of the trip. …”
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