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  1. 1
    Route optimization using shortest path method / Muhamad Faisal Amin Shakri

    Route optimization using shortest path method / Muhamad Faisal Amin Shakri by Shakri, Muhamad Faisal Amin

    Published 2025
    “…This study investigated the implementation and comparison between well known shortest path method which are Dijkstra’s algorithm, Bellman-Ford, and A* algorithm. …”
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  2. 2
    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques

    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

    Published 2014
    “…The aim is to solve the above-mentioned problems via an optimization mechanism based upon the combination between runtime path prediction method and heuristic algorithms. …”
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  3. 3
    Adaptive route optimization for mobile robot navigation using evolutionary algorithm

    Adaptive route optimization for mobile robot navigation using evolutionary algorithm by Kit Guan Lim, Guan Lim, Yoong Hean Lee, Hean Lee, Min Keng Tan, Keng Tan, Hou, Pin Yoong, Tienlei, Wang, Tze, Kenneth Kin Teo

    Published 2021
    “…For example, Ant Colony Optimization (ACO) is an optimization algorithm based on swarm intelligence which is widely used to solve path planning problem. …”
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  4. 4
    Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization

    Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization by Yusof, T. S. T., Toha, Siti Fauziah, Md. Yusof, Hazlina

    Published 2015
    “…Here, in this paper, we propose a path planning with predetermined waypoints method using Particle Swarm Optimization (PSO) algorithm. …”
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  5. 5
    Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization

    Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization by Pang, Jia Hong

    Published 2011
    “…The genetic algorithms is proven to be a very effective method in optimization by using the way imitating natural process of living beings such as crossover, mutation and selection. …”
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  6. 6
    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms

    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

    Published 2008
    “…This thesis presents a new approach to optimize the performance of a dual beam optical scanning system in terms of its scanning combinations and speed, using Genetic Algorithm (GA). …”
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  7. 7
    Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman

    Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman by Isman, Muhammad Iskandar

    Published 2017
    “…Therefore, in this research, will be use Ant Colony Optimization (ACO) algorithm as an optimize technique that provide a shortest path of defining a successor that is their highest value of criteria. …”
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  8. 8
    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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  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 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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  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, 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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  11. 11
    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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  12. 12
    Systematic design of chemical reactors with multiple stages via multi-objective optimization approach

    Systematic design of chemical reactors with multiple stages via multi-objective optimization approach by Mohd Fuad, Mohd Nazri, Hussain, Mohd Azlan

    Published 2015
    “…Specifically, multi-objective optimization method will be used to generate Pareto optimal solutions that characterize the non-inferior solutions set for the problem. …”
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  13. 13
    Modelling and Optimization of Asymmetric Vehicle Routing Problem Using Particle Swarm Optimization Algorithm

    Modelling and Optimization of Asymmetric Vehicle Routing Problem Using Particle Swarm Optimization Algorithm by Muhamad Rozikin, Kamaluddin, M. F. F., Ab Rashid

    Published 2021
    “…This paper used a well-known metaheuristic optimization method, Particle Swarm Optimization (PSO) for solving AVRP models. …”
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  14. 14
    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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  15. 15
    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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  16. 16
    Vehicle routing problem using genetic algorithm / Shamini Nagaratnam

    Vehicle routing problem using genetic algorithm / Shamini Nagaratnam by Shamini , Nagaratnam

    Published 2006
    “…This dissertation studies and explores the potential of using Genetic Algorithms to find the shortest path in Vehicle Routing Problem. …”
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  17. 17
    A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network

    A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network by Almuslehi, Hussein Saad Mohammed

    Published 2023
    “…The multi-criterion energyefficient routing mechanism uses the ACO algorithm, inspired by ants' foraging behaviour. …”
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  18. 18
    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module

    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module by Koh J.S.P., Aris I.B., Ramachandaramurthy V.K., Bashi S.M., Marhaban M.H.

    Published 2023
    “…This research presents a new approach to optimise the performance of a multiple-beam optical scanning system in terms of its marking combinations and speed, using Genetic Algorithm (GA). The problem has been decomposed into two sub problems; task segregation, where the marking tasks need to be segregated and assigned for each scanner head and path planning where the best combinatorial paths for each scanner are determined in order to minimise the total motion of marking time. …”
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  19. 19
    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module

    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module by Koh J.S.P., Aris I.B., Ramachandaramurthy V.K., Bashi S.M., Marhaban M.H.

    Published 2023
    “…This research presents a new approach to optimise the performance of a multiple-beam optical scanning system in terms of its marking combinations and speed, using Genetic Algorithm (GA). The problem has been decomposed into two sub problems; task segregation, where the marking tasks need to be segregated and assigned for each scanner head and path planning where the best combinatorial paths for each scanner are determined in order to minimise the total motion of marking time. …”
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  20. 20
    Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms

    Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms by Ridha, Hussein Mohammed

    Published 2020
    “…The IEM algorithm uses the attraction-repulsion mechanism to change the positions of solutions towards the optimality. …”
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