Search Results - population-based vortex search algorithm

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  1. 1

    PVS: a new population-based vortex search algorithm with boosted exploration capability using polynomial mutation by Sağ, Tahir

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.10.2022
    Published in Neural computing & applications (01.10.2022)
    “…This paper introduces a novel population-based vortex search algorithm (PVS) to improve the weakness of the global search capability of the original Vortex Search (VS…”
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    Journal Article
  2. 2

    Innovative Machine Learning Approach for Forecasting Student Performance in Degree Programs: A Case Study Using Naive Bayes Classification by Nana Wang

    ISSN: 2708-9967, 2708-9975
    Published: Tamkang University Press 01.09.2025
    Published in Journal of Applied Science and Engineering (01.09.2025)
    “…It has become one of the prime focus areas in the academic world, starting from schools to higher educational institutions, that deal with student academic…”
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    Journal Article
  3. 3

    Gasification process modelling and optimization using Gaussian process regression and hybrid population-based algorithms by Si, Hongying

    ISSN: 2520-8160, 2520-8179
    Published: Cham Springer International Publishing 01.09.2024
    “…) modelling with the Population-Based Vortex Search Algorithm (PVSA) and the Dingo Optimization Algorithm (DOA…”
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  4. 4

    Applying Support Vector Regression-Based Hybrid Models For Modeling The Gasification Process by Baofu Gong

    ISSN: 2708-9967, 2708-9975
    Published: 淡江大學 01.06.2025
    Published in Journal of Applied Science and Engineering (01.06.2025)
    “…) and the Population-based Vortex Search Algorithm (PVSA), to fine-tune SVR for accurately assessing CO and CO_2 values…”
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  5. 5

    Forecasting Residential Building Heating Load With An Innovative Gaussian Process Regression Method by Xiaoyu Sun

    ISSN: 2708-9967, 2708-9975
    Published: 淡江大學 01.06.2025
    Published in Journal of Applied Science and Engineering (01.06.2025)
    “…) and harnessing the power of two groundbreaking optimization techniques: the Population-based Vortex Search Algorithm (PVS…”
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  6. 6

    Predictive Modeling of Student Performance Through Classification with Gaussian Process Models by ZHANG, Xiaowei, YUE, Junlin

    ISSN: 2158-107X, 2156-5570
    Published: West Yorkshire Science and Information (SAI) Organization Limited 2024
    “… The study utilizes the Gaussian Process Classification (GPC) model in conjunction with two optimization algorithms, the Population-based Vortex Search Algorithm (PVS…”
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  7. 7

    Utilizing meta-heuristic algorithms for load-bearing capacity prediction in piles with support vector regression by Xu, Mengran, Zhu, Zhihui

    ISSN: 2520-8160, 2520-8179
    Published: Cham Springer International Publishing 01.11.2024
    “…When designing foundations and using geotechnical engineering, pile bearing capacity (Pu) is essential, indicating the maximum load piles can sustain without…”
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  8. 8

    Machine learning-based prediction of compressive strength and slump in high-performance concrete by Zhang, Ruikun, Meng, Chenyu

    ISSN: 2520-8160, 2520-8179
    Published: Cham Springer International Publishing 01.11.2025
    “…The design of a concrete structure heavily depends on one of the most significant performance parameters: concrete strength. Reliable strength prediction can…”
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  9. 9

    Having Deep Investigation on Predicting Unconfined Compressive Strength by Decision Tree in Hybrid and Individual Approaches by Zhang, Qingqing, Wang, Lei, Gu, Hongmei

    ISSN: 2158-107X, 2156-5570
    Published: West Yorkshire Science and Information (SAI) Organization Limited 2024
    “… Furthermore, this paper integrates two meta-heuristic algorithms: the Population…”
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    Journal Article
  10. 10

    Prediction of pile settlement by using hybrid random forest models by Yu, Shengnan

    ISSN: 2520-8160, 2520-8179
    Published: Cham Springer International Publishing 01.07.2024
    “…Pile settlement, a critical aspect of geotechnical engineering, refers to the vertical movement or deformation of piles, which are structural elements used to…”
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  11. 11

    Anticipating Properties of Ultra-High-Performance Concrete through the K-Nearest Neighbor Algorithm by Yonghoon Won

    ISSN: 3041-850X
    Published: Bilijipub publisher 01.09.2025
    “… Two state-of-the-art metaheuristic approaches, namely Giant Trevally Optimizer (GTO) and Population-based Vortex Search Algorithm…”
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  12. 12

    Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction by Yuxuan Dai

    ISSN: 2708-9967, 2708-9975
    Published: Tamkang University Press 01.04.2025
    Published in Journal of Applied Science and Engineering (01.04.2025)
    “…Nowadays, the main focus of current research and practice is to prioritize energy-efficient building management. Therefore, this pressing need pushes the…”
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  13. 13

    A Tuned Parallel Population-Based Genetic Algorithm for BESS Operation in AC Microgrids: Minimizing Operational Costs, Power Losses, and Carbon Footprint in Grid-Connected and Islanded Topologies by Figueroa-Saavedra, Hugo Alessandro, Sanin-Villa, Daniel, Grisales-Noreña, Luis Fernando

    ISSN: 2673-4826, 2673-4826
    Published: Basel MDPI AG 09.08.2025
    Published in Electricity (Basel, Switzerland) (09.08.2025)
    “… This study proposes an improved energy management system for AC MGs based on a tuned Parallel Population-Based Genetic Algorithm for the optimal operation of batteries under variable generation and demand…”
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  14. 14

    A new metaheuristic for numerical function optimization: Vortex Search algorithm by Doan, Berat, Oelmez, Tamer

    ISSN: 0020-0255, 1872-6291
    Published: Elsevier Inc 01.02.2015
    Published in Information sciences (01.02.2015)
    “… (Simulated Annealing, SA and Pattern Search, PS) and population-based (Particle Swarm Optimization, PSO2011 and Artificial Bee Colony, ABC) algorithms…”
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    Optimal Location and Sizing of DGs in DC Networks Using a Hybrid Methodology Based on the PPBIL Algorithm and the VSA by Grisales-Noreña, Luis Fernando, Montoya, Oscar Danilo, Hincapié-Isaza, Ricardo Alberto, Granada Echeverri, Mauricio, Perea-Moreno, Alberto-Jesus

    ISSN: 2227-7390, 2227-7390
    Published: Basel MDPI AG 01.08.2021
    Published in Mathematics (Basel) (01.08.2021)
    “…) optimization method in the master stage to solve the location problem and the Vortex Search Algorithm (VSA…”
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  17. 17

    Hybrid Machine Learning Models for Optimized Potato Price Prediction by Liping Liu

    ISSN: 2708-9967, 2708-9975
    Published: Tamkang University Press 2026
    “…), optimized through two metaheuristic algorithms: the Stochastic Paint Optimizer (SPO) and the Population-based Vortex Search Algorithm (PVSA…”
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  18. 18

    Electric fish optimization: a new heuristic algorithm inspired by electrolocation by Yilmaz, Selim, Sen, Sevil

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.08.2020
    Published in Neural computing & applications (01.08.2020)
    “…Swarm behaviors in nature have inspired the emergence of many heuristic optimization algorithms…”
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  19. 19

    A hierarchical feature selection strategy for deepfake video detection by Mohiuddin, Sk, Sheikh, Khalid Hassan, Malakar, Samir, Velásquez, Juan D., Sarkar, Ram

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2023
    Published in Neural computing & applications (01.05.2023)
    “…Digital face manipulation has become a concern in the last few years due to its harmful impacts on society. It is especially concerning for high-profile…”
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  20. 20

    A cost-effective integration and operation methodology for battery energy storage systems in active distribution networks via a master–slave optimization strategy by Cortés-Caicedo, Brandon, Montoya, Oscar Danilo, Grisales-Noreña, Luis Fernando, Gaona-García, Elvis Eduardo, Ardila-Rey, Jorge

    ISSN: 2352-152X
    Published: Elsevier Ltd 01.07.2025
    Published in Journal of energy storage (01.07.2025)
    “…) with the vortex search algorithm (for determining the hourly operation scheme). This method accounts for the variability of distributed generation (DG…”
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