Search Results - (( web application swarm algorithm ) OR ( _ application ((acs algorithm) OR (based algorithm)) ))

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    Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing by Elrasheed Ismail, Sultan

    Published 2013
    “…Performance of the QPSO technique based on many heuristic algorithms it is comprised the following steps. …”
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    Thesis
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    Marine Predator Algorithm and Related Variants: A Systematic Review by Philibus, Emmanuel, Mohd Zain, Azlan, Prasetya, Didik Dwi, Bahari, Mahadi, Yusup, Norfadzlan, Abdul Jalil, Rozita, Abdul Majid, Mazlina, A Samah, Azurah

    Published 2025
    “…The Marine Predators Algorithm (MPA) is classified under swarm intelligence methods based on its type of inspiration. …”
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    Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network by Husna, Jamal Abdul Nasir

    Published 2020
    “…This research proposes a hybridization of Enhanced ACS and Tabu Search (EACS(TS)) algorithm for packet routing in WSN. …”
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    Ant colony optimization in dynamic environments by Chen, Fei Huang

    Published 2010
    “…The last objective of this thesis is to optimize the parameter settings of the best performing ant algorithm with local search. From the experimental analysis, it was found that ACS works best for solving the dynamic TSP compared to the other five ant algorithms. …”
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    Thesis
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    A New Near Optimal Harmonics Elimination PWM Algorithm For AC Traction Drives by Salam, Zainal, Chew, Tit Lynn

    Published 2002
    “…The paper presents an algorithm to calculate near optimal switching angles, which will permit a fast and efficient realization using a microprocessor. …”
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    Modified ACS centroid memory for data clustering by Jabbar, Ayad Mohammed, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

    Published 2019
    “…Centroids will be identified based on the adaptive instance route. A comparison of the performance of several common clustering algorithms using real-world data sets shows that the accuracy of the proposed algorithm surpasses those of its counterparts.…”
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