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  1. 321

    A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing by El-Abd, Mohammed

    Published 2022
    “…To handle these challenges, evolutionary and swarm optimisation algorithms can be robust and practical tools and show great potential to solve such complex problems. …”
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  2. 322

    Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications by Hussie, Abdelazim

    Published 2022
    “…Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. …”
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  3. 323

    A METHODOLOGY FOR NETWORK TOPOLOGY DESIGN USING FUZZY EVALUATIONS by Khan, Salman A.

    Published 2020
    “…This methodology is based on two algorithms, namely, fuzzy simulated evolution algorithm and the augmenting path algorithm. …”
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    article
  4. 324

    QoS-driven multicast tree generation using tabu search by Youssef, H.

    Published 2020
    “…Results show that on almost all test cases, TS algorithm exhibits more intelligent search of the solution subspace and is able to find better solutions than other reported multicast algorithms.…”
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    article
  5. 325

    Scatter search for homology modeling by Mansour, Nashat

    Published 2016
    “…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. SS is an evolutionary approach that is based on a population of candidate solutions. …”
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  6. 326

    Scatter search metaheuristic for homology based protein structure prediction. (c2015) by Stamboulian, Mouses Hrag

    Published 2015
    “…SS is an evolutionary approach that is based on a population of candidate solutions. …”
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    masterThesis
  7. 327

    Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers by Tarhini, Abbas

    Published 2020
    “…The results indicate that the solution selected by the Cuckoo Search-based hyper-heuristic outperformed the modified Clarke Wright algorithm while taking into consideration the customers’ priority and demands and the vehicle capacity.…”
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    article
  8. 328

    An Efficient and Energy Aware Routing Protocol for Underwater Wireless Sensor Network by Aravind, R.

    Published 2024
    “…In particular, the Energy-Aware Clustering Protocol for Underwater Sensor Networks (EAC-UWSN) is improved with help of evolutionary approaches. The proposed Evolutionary Density and Grid-based Clustering Algorithm (EDA-UWSN) is a two-step process of using grid and density-based to find out the dense cells and then to clusters them optimally. …”
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  9. 329
  10. 330

    Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations by Shameem A. Puthiya Parambath (14150997)

    Published 2022
    “…Here we propose a two-stage algorithm based on soft clustering to provide an efficient solution to this problem. …”
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    Joint distributed synchronization and positioning in UWB ad hoc networks using TOA by Denis, B.

    Published 2006
    “…For both distributed synchronization and positioning algorithms, simulation results are provided to illustrate the relevance of such a solution.…”
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    article
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  15. 335

    An easy-to-use scalable framework for parallel recursive backtracking by Abu-Khzam, Faisal N.

    Published 2013
    “…Many of these algorithms use recursive backtracking as their core solution paradigm. …”
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    article
  16. 336

    Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks by Islambouli, Rania

    Published 2019
    “…We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. …”
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    article
  17. 337

    On scalable parallel recursive backtracking by Abu-Khzam, Faisal N.

    Published 2015
    “…Many of these algorithms use recursive backtracking as their core solution paradigm. …”
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    article
  18. 338

    Enhanced Jaya optimization for improving multilayer perceptron neural network in urban air quality prediction by Abdullah, Afsah

    Published 2024
    “…This strategy saves the best solutions obtained during the optimization process for later use, enhancing the algorithm's performance. …”
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  19. 339

    Enhanced Jaya optimization for improving multilayer perceptron neural network in urban air quality prediction by Abdullah, Afsah

    Published 2024
    “…This strategy saves the best solutions obtained during the optimization process for later use, enhancing the algorithm's performance. …”
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  20. 340