Search Results - (( user evaluation bees algorithm ) OR ( user identification path algorithm ))

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  1. 1
    Weighted Sum-Dijkstra’s Algorithm in Best Path Identification based on Multiple Criteria

    Weighted Sum-Dijkstra’s Algorithm in Best Path Identification based on Multiple Criteria by Ting, Kien Hua, Noraini Abdullah

    Published 2018
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  2. 2
    MYMealPal: Malaysian healthy meal planner using artificial bee colony approach / Wan Muhamad Amirul Hakimi Wan Mohd Zaki

    MYMealPal: Malaysian healthy meal planner using artificial bee colony approach / Wan Muhamad Amirul Hakimi Wan Mohd Zaki by Wan Mohd Zaki, Wan Muhamad Amirul Hakimi

    Published 2017
    “…Then each of the meal plans will be refined in the exploitation process. ABC algorithm will evaluate every meal calories in the database to find the best meal plan with the optimal calories for user. …”
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  3. 3
    Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony

    Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony by Mohd Izuddin Sipluk

    Published 2022
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    Academic Exercise
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  4. 4
    Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing

    Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing by Parmesivan, Yuganes, Hasan, Sazlinah, Muhammed, Abdullah

    Published 2018
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  5. 5
    Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam

    Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam by Samam, Felix Ceilomond

    Published 2015
    “…Route planning using Dijkstra's algorithm can produce better accuracy and more reliable in indoor environment since the only factor taken into account is the weight for each path.…”
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    Thesis
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  6. 6
    Exploratory Study on Navigation System for Visually Impaired Person

    Exploratory Study on Navigation System for Visually Impaired Person by Anuar , Mohamed Kassim, Shukor, Ahmad Zaki

    Published 2013
    “…Path planning algorithm will be implemented in this project to give the shortest path and direction as a navigation guide for visually impaired people. …”
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  7. 7
    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. Following the identification of path-dependent design variables, several (possibly conflicting) design objectives will be selected and solutions of the corresponding problem will be generated from multi-objective optimization algorithm. …”
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  8. 8
    Performance Study of Developed SMART EYE for Visually Impaired Person.

    Performance Study of Developed SMART EYE for Visually Impaired Person. by Anuar , Mohamed Kassim, Shukor, Ahmad Zaki

    Published 2013
    “…Path planning algorithm will be implemented in this project to give the shortest path and direction as a navigation guide for visually impaired people. …”
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  9. 9
    Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm

    Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

    Published 2022
    “…Furthermore, CloudSim simulator will be used to evaluate the performance of this algorithm. The result of the algorithm performance will be appeared in web application system. …”
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    Academic Exercise
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  10. 10
    Efficient relay placement algorithm using landscape aware routing (erpalar)

    Efficient relay placement algorithm using landscape aware routing (erpalar) by Onabajo, Olawale Olusegun

    Published 2011
    “…Chromosome in GA-2 is the AP, and user slots on the AP as genes. Since this algorithm win be used at different deployment sites, a crossover rate of 0.5 is recommended for both GA-I and GA-2; and mutation rate of 0.1 for GA-l and GA-2. …”
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