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Journal articles on the topic 'Vortex optimization algorithm'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Lenin, K. "VORTEX OPTIMIZATION ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM." International Journal of Research -GRANTHAALAYAH 6, no. 1 (2018): 266–76. http://dx.doi.org/10.29121/granthaalayah.v6.i1.2018.1614.

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In this paper, a new Vortex Optimization (VO) algorithm is proposed to solve the reactive power problem. The idea is generally focused on a typical Vortex flow in nature and enthused from some dynamics that are occurred in the sense of Vortex nature. In a few words, the algorithm is also a swarm-oriented evolutional problem solution methodology; since it comprises numerous techniques related to removal of feeble swarm members and trying to progress the solution procedure by supporting the solution space through fresh swarm members. In order to evaluate the performance of the proposed Vortex Op

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Dr.K.Lenin. "VORTEX OPTIMIZATION ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM." International Journal of Research - Granthaalayah 6, no. 1 (2018): 266–76. https://doi.org/10.5281/zenodo.1164144.

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In this paper, a new Vortex Optimization (VO) algorithm is proposed to solve the reactive power problem. The idea is generally focused on a typical Vortex flow in nature and enthused from some dynamics that are occurred in the sense of Vortex nature. In a few words, the algorithm is also a swarm-oriented evolutional problem solution methodology; since it comprises numerous techniques related to removal of feeble swarm members and trying to progress the solution procedure by supporting the solution space through fresh swarm members. In order to evaluate the performance of the proposed Vortex Op

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3

Ahmet, Demir, and Kose Utku. "BRAIN Journal - Solving Optimization Problems via Vortex Optimization Algorithm and Cognitive Development Optimization Algorithm." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 4 (2016): 23–42. https://doi.org/10.5281/zenodo.1045013.

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ABSTRACT In the fields which require finding the most appropriate value, optimization became a vital approach to employ effective solutions. With the use of optimization techniques, many different fields in the modern life have found solutions to their real-world based problems. In this context, classical optimization techniques have had an important popularity. But after a while, more advanced optimization problems required the use of more effective techniques. At this point, Computer Science took an important role on providing software related techniques to improve the associated literature.

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Utku, Kose, and Arslan Ahmet. "BRAIN Journal - On the Idea of a New Artificial Intelligence Based Optimization Algorithm Inspired From the Nature of Vortex." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 5, no. 1-4 (2014): 60–66. https://doi.org/10.5281/zenodo.1044111.

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ABSTRACT In this paper, the idea of a new artificial intelligence based optimization algorithm, which is inspired from the nature of vortex, has been provided briefly. As also a bio-inspired computation algorithm, the idea is generally focused on a typical vortex flow / behavior in nature and inspires from some dynamics that are occurred in the sense of vortex nature. Briefly, the algorithm is also a swarm-oriented evolutional problem solution approach; because it includes many methods related to elimination of weak swarm members and trying to improve the solution process by supporting the sol

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Wang, Hongyang, Zijing Zhang, Qingfeng Wang, Rui Feng, and Yuan Zhao. "Enhanced Measurement of Vortex Beam Rotation Using Polarization-Assisted Particle Swarm Optimization for Phase Retrieval." Photonics 10, no. 12 (2023): 1293. http://dx.doi.org/10.3390/photonics10121293.

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In detecting the rotation velocity of an object employing the rotational Doppler effect of vortex beams, atmospheric turbulence can easily cause phase distortion and spiral spectrum dispersion, consequently reducing velocity measurement accuracy. This study combines adaptive optical intelligence algorithms with polarization compensation information to propose a novel approach, the Stokes–Particle swarm optimization Gerchberg–Saxton (Stokes-PSO GS) algorithm, which integrates Stokes polarization information assistance and PSO for GS phase retrieval. The algorithm adjusts the phase and amplitude

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Rudolf, P., B. Oberta, and D. Štefan. "Shape optimization of hydraulic turbine diffuser under swirling flow conditions to mitigate vortex rope instability." IOP Conference Series: Earth and Environmental Science 1483, no. 1 (2025): 012040. https://doi.org/10.1088/1755-1315/1483/1/012040.

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Abstract Vortex rope is a typical undesired phenomenon occuring in draft tube of Francis turbines operated under off-design operating conditions. It is characterized by pressure pulsations (synchronous and asynchronous), which influence dynamics of the hydraulic turbine and often cause limiting of the turbine operation. Because vortex rope is result of flow instability, there is a chance to influence the instability onset by modification of boundary conditions. Present contribution is focusing on mitigation by proper shaping of the draft tube walls. The approach is based on automatic procedure

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Yadav, Suman, Richa Yadav, Ashwni Kumar, and Manjeet Kumar. "Design of Optimal Two-Dimensional FIR Filters with Quadrantally Symmetric Properties Using Vortex Search Algorithm." Journal of Circuits, Systems and Computers 29, no. 10 (2019): 2050155. http://dx.doi.org/10.1142/s0218126620501558.

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This research paper presents a new evolutionary technique named vortex search optimization (VSO) to design digital 2D finite impulse response (FIR) filter for improved performance both in pass-band and stop-band regions. Optimum filter coefficients are calculated by minimizing the deviation of actual frequency response from specified or desired response. Efficiency of the designed filter is measured by several parameters, such as maximum pass-band ripple, maximum stop-band ripple, mean attenuation in stop band and time taken, to execute the code. Analysis of the performance of designed filter

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Dogan, Berat. "A Modified Vortex Search Algorithm for Numerical Function Optimization." International Journal of Artificial Intelligence & Applications 7, no. 3 (2016): 37–54. http://dx.doi.org/10.5121/ijaia.2016.7304.

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Artyukhov, Artem, Viktor Obodiak, and Pavlo Boiko. "Development of Software for Calculating of the Vortex Fluidized Bed Granulator." Journal of Software Engineering: Theories and Practices 2, no. 1 (2017): 1–10. http://dx.doi.org/10.21174/josetap.v2i1.61.

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The article is devoted to the development of software for calculating the hydrodynamic conditions and kinetic characteristics of granulation process in vortex devices. In the basis software Vortex Granulator© and Classification in vortex flow© original mathematical model for calculating the flow rate of gas and granules classification and separation processes of granules in a vortex granulator, kinetics of granules heating and removing moisture from the granules was put. The structure of software and algorithm of their work is shown. In the article, an algorithm for calculation of the granulat

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Doğan, Berat, and Tamer Ölmez. "A new metaheuristic for numerical function optimization: Vortex Search algorithm." Information Sciences 293 (February 2015): 125–45. http://dx.doi.org/10.1016/j.ins.2014.08.053.

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Razavi, Seyedeh Fatemeh, and Hedieh Sajedi. "SVSA: a Semi-Vortex Search Algorithm for solving optimization problems." International Journal of Data Science and Analytics 8, no. 1 (2018): 15–32. http://dx.doi.org/10.1007/s41060-018-0154-6.

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Jiang, Haobo, and Xinghong Kuang. "Improved Snake Optimization and Particle Swarm Fusion Algorithm Based on AUV Global Path Planning." Journal of Marine Science and Engineering 13, no. 4 (2025): 796. https://doi.org/10.3390/jmse13040796.

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An improved snake optimization algorithm (ISO) is proposed to obtain an effective and reliable three-dimensional path for an autonomous underwater vehicle (AUV) to navigate seabed barrier environments and ocean currents. First, a three-dimensional seafloor environment model, seafloor obstacles, and a model of a Lamb vortex current are constructed. Second, the designed mathematical framework for three-dimensional path planning comprehensively considers a variety of constraints such as sailing distance, path threat, sailing altitude, and optimized ocean current energy consumption. Finally, ISO d

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SAKA, Mustafa, Melih ÇOBAN, İbrahim EKE, Süleyman Sungur TEZCAN, and Müslüm Cengiz TAPLAMACIOĞLU. "A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 29, no. 4 (2021): 1908–28. http://dx.doi.org/10.3906/elk-2004-193.

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Chau, Minh Thuyen, Khac Tung Truong, and Hoai Phong Nguyen. "Vortex search algorithm for designing hybrid active power filter." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 1 (2020): 443–51. https://doi.org/10.11591/ijeecs.v18.i1.pp443-451.

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This paper proposes a new multi-objective optimization design method for Hybrid Active Power Filter based on the Vortex Search algorithm. The Vortex Search algorithm belongs to the Single-Solution Based algorithm class of Metaheuristics algorithm. This design method has the advantage of fast execution time, high convergence speed and prevent local trap problems. The achieved results are multi-objective, such as minimum total harmonic distortion of the supply current and source voltage and satisfy many constraints such as system stability, resonance conditions of branches and limits of the para

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Su, Shoubao, Chao He, and Liukai Xu. "Quasi-Reflective Chaotic Mutant Whale Swarm Optimization Fused with Operators of Fish Aggregating Device." Symmetry 14, no. 4 (2022): 829. http://dx.doi.org/10.3390/sym14040829.

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To improve the performance of the whale optimization algorithm and further enhance the search accuracy, while increasing the convergence speed, a quasi-reflective chaotic mutant whale swarm optimization, namely QNWOA, is proposed, fused with an operator of Fish Aggregating Devices (FADs) in this paper. Firstly, the swarm diversity is increased by using logistic chaotic mapping. Secondly, a quasi-reflective learning mechanism is introduced to improve the convergence speed of the algorithm. Then, the FADs vortex effect and wavelet variation of the marine predator algorithm (MPA) are introduced i

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Yue, Jinpeng. "Numerical modeling of coupling effect of plateau vortex and atmospheric circulation based on adaptive filtering and computational analysis of spatio-temporal characteristics." Journal of Combinatorial Mathematics and Combinatorial Computing 125 (March 30, 2025): 309–22. https://doi.org/10.61091/jcmcc125-22.

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In this paper, the basic Wiener filter structure and adaptive algorithm module are used to optimize the parameter adjustment and data noise processing in the adaptive filter algorithm. Based on the LMS criterion, the algorithm is further refined by quantization error and affine projection optimization, which improves the accuracy and speed of vortex and circulation data analysis. The optimized algorithm reduces noise and covariance error, and achieves excellent performance in filtering evaluation (SRTAE: \(1.623\times10^{-2}\,\text{m}\) and \(1.162\times10^{-4}\,\text{m/s}\)). The results show

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Coban, Melih, and Suleyman Sungur Tezcan. "Feed-Forward Neural Networks Training with Hybrid Taguchi Vortex Search Algorithm for Transmission Line Fault Classification." Mathematics 10, no. 18 (2022): 3263. http://dx.doi.org/10.3390/math10183263.

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In this study, the hybrid Taguchi vortex search (HTVS) algorithm, which exhibits a rapid convergence rate and avoids local optima, is employed as a new training algorithm for feed-forward neural networks (FNNs) and its performance was analyzed by comparing it with the vortex search (VS) algorithm, the particle swarm optimization (PSO) algorithm, the gravitational search algorithm (GSA) and the hybrid PSOGSA algorithm. The HTVS-based FNN (FNNHTVS) algorithm was applied to three datasets (iris classification, wine recognition and seed classification) taken from the UCI database (the machine lear

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Gehrke, Alexander, Guillaume Guyon-Crozier, and Karen Mulleners. "Genetic Algorithm Based Optimization of Wing Rotation in Hover." Fluids 3, no. 3 (2018): 59. http://dx.doi.org/10.3390/fluids3030059.

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The pitching kinematics of an experimental hovering flapping wing setup are optimized by means of a genetic algorithm. The pitching kinematics of the setup are parameterized with seven degrees of freedom to allow for complex non-linear and non-harmonic pitching motions. Two optimization objectives are considered. The first objective is maximum stroke average efficiency, and the second objective is maximum stroke average lift. The solutions for both optimization scenarios converge within less than 30 generations based on the evaluation of their fitness. The pitching kinematics of the best indiv

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Sağ, Tahir, and Zainab Abdullah Jalil Jalil. "Vortex search optimization algorithm for training of feed-forward neural network." International Journal of Machine Learning and Cybernetics 12, no. 5 (2021): 1517–44. http://dx.doi.org/10.1007/s13042-020-01252-x.

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Gönül, Alişan, Abdulkerim Okbaz, Nurullah Kayaci, and Ahmet Selim Dalkilic. "Flow optimization in a microchannel with vortex generators using genetic algorithm." Applied Thermal Engineering 201 (January 2022): 117738. http://dx.doi.org/10.1016/j.applthermaleng.2021.117738.

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Li, Panchi, and Ya Zhao. "A quantum-inspired vortex search algorithm with application to function optimization." Natural Computing 18, no. 3 (2018): 647–74. http://dx.doi.org/10.1007/s11047-018-9704-z.

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Ye, Daoxing, Hao Li, Qiuyan Ma, Qibiao Han, and Xiulu Sun. "Numerical Investigation of Performance Improvement and Erosion Characteristics of Vortex Pump Using Particle Model." Shock and Vibration 2020 (March 6, 2020): 1–10. http://dx.doi.org/10.1155/2020/5103261.

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Vortex pump has characteristics of low efficiency and serious surface erosion of blade, which seriously affects service life. Therefore, it is particularly important to improve the efficiency of vortex pump and reduce erosion of blade surface. In this investigation, the design of experiment was used to determine the test plan and the number of samples tested. The relationship between geometric factors of vortex pump and efficiency and erosion rate of blade was established using the kriging approximation model. The genetic algorithm solved the multiobjective optimization and obtained the Pareto

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23

Thuyen, Chau Minh, Truong Khac Tung, and Nguyen Hoai Phong. "Vortex search algorithm for designing hybrid active power filter." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (2020): 443. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp443-451.

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<p>This paper proposes a new multi-objective optimization design method for Hybrid Active Power Filter based on the Vortex Search algorithm. The Vortex Search algorithm belongs to the Single-Solution Based algorithm class of Metaheuristics algorithm. This design method has the advantage of fast execution time, high convergence speed and prevent local trap problems. The achieved results are multi-objective, such as minimum total harmonic distortion of the supply current and source voltage and satisfy many constraints such as system stability, resonance conditions of branches and limits of

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24

Feng, Qiang, Yifeng Lin, Yushan Zheng, and Long Li. "Vortex Beam Optimization Design of Concentric Uniform Circular Array Antenna with Improved Array Factor." Applied Computational Electromagnetics Society 36, no. 7 (2021): 830–37. http://dx.doi.org/10.47037/2021.aces.j.360702.

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In this paper, an improved array factor of the concentric uniform circular array (CUCA) antenna is proposed for the orbital angular momentum (OAM) vortex beam optimization design. From the perspective of the radiation pattern’s power conservation principle, a correction factor is introduced to the conventional array factor of CUCA. Then, based on the improved array factor, by adjusting the rings’ radii parameters of the CUCA, we optimize the vortex beam’s sidelobe level through the generic algorithm (GA). Two different CUCA antenna model are calculated as examples to further illustrate the eff

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Xiong, Shiying, and Yue Yang. "Identifying the tangle of vortex tubes in homogeneous isotropic turbulence." Journal of Fluid Mechanics 874 (July 15, 2019): 952–78. http://dx.doi.org/10.1017/jfm.2019.487.

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We extend the vortex-surface field (VSF), whose isosurface is a vortex surface consisting of vortex lines, to identify vortex tubes and sheets in homogeneous isotropic turbulence. The VSF at a time instant is constructed by solving a pseudo-transport equation. This equation is convected by a given instantaneous vorticity obtained from direct numerical simulation. In each pseudo-time step, we develop a novel local optimization algorithm to minimize a hybrid VSF constraint, balancing the accuracy and smoothness of VSF solutions. This key improvement makes the numerical construction of VSFs feasi

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Montoya, Oscar Danilo, Carlos Andrés Ramos-Paja, and Luis Fernando Grisales-Noreña. "An Efficient Methodology for Locating and Sizing PV Generators in Radial Distribution Networks Using a Mixed-Integer Conic Relaxation." Mathematics 10, no. 15 (2022): 2626. http://dx.doi.org/10.3390/math10152626.

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This paper proposes a new solution methodology based on a mixed-integer conic formulation to locate and size photovoltaic (PV) generation units in AC distribution networks with a radial structure. The objective function comprises the annual expected energy costs of the conventional substation in addition to the investment and operating costs of PV sources. The original optimization model that represents this problem belongs to the family of mixed-integer nonlinear programming (MINLP); however, the complexity of the power balance constraints make it difficult to find the global optimum. In orde

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Houssein, Essam H., Nagwan Abdel Samee, Maali Alabdulhafith, and Mokhtar Said. "Extraction of PEM fuel cell parameters using Walrus Optimizer." AIMS Mathematics 9, no. 5 (2024): 12726–50. http://dx.doi.org/10.3934/math.2024622.

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<abstract> <p>The process of identifying the optimal unknown variables for the creation of a precision fuel-cell performance forecasting model using optimization techniques is known as parameter identification of the proton exchange membrane fuel cell (PEMFC). Recognizing these factors is crucial for accurately forecasting and assessing the fuel cell's performance, as they may not always be included in the manufacturer's datasheet. Six optimization algorithms—the Walrus Optimizer (WO), the Tunicate Swarm Algorithm (TSA), the Harris Hawks Optimizer (HHO), the Heap Based Optimizer (H

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Ding, Yanyan, Jun Wang, Boyan Jiang, et al. "Multi-Objective Optimization for the Radial Bending and Twisting Law of Axial Fan Blades." Processes 10, no. 4 (2022): 753. http://dx.doi.org/10.3390/pr10040753.

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The performance of low-pressure axial flow fans is directly affected by the three-dimensional bending and twisting of the blades. A new blade design method is adopted in this work, where the radial distribution of blade angle and blade bending angle is composed of standard-form rational quadratic Bézier curves. Dendrite Net is then trained to predict the pneumatic performance of the fan. A non dominated sorting genetic algorithm is employed to solve the global optimization problem of the total pressure coefficient and efficiency. The simulation results show that the optimal blade load distribu

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Pátý, Marek, Michael Valášek, Emanuele Resta, Roberto Marsilio, and Michele Ferlauto. "Passive Control of Vortices in the Wake of a Bluff Body." Fluids 9, no. 6 (2024): 131. http://dx.doi.org/10.3390/fluids9060131.

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Vortices belong to the most important phenomena in fluid dynamics and play an essential role in many engineering applications. They can act detrimentally by harnessing the flow energy and reducing the efficiency of an aerodynamic device, whereas in other cases, their presence can be exploited to achieve targeted flow conditions. The control of the vortex parameters is desirable in both cases. In this paper, we introduce an optimization strategy for the control of vortices in the wake of a bluff body. Flow modelling is based on RANS and DES computations, validated by experimental data. The algo

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Montoya, Oscar Danilo, Diego Armando Giral-Ramírez, and Jesus C. Hernández. "Efficient Integration of PV Sources in Distribution Networks to Reduce Annual Investment and Operating Costs Using the Modified Arithmetic Optimization Algorithm." Electronics 11, no. 11 (2022): 1680. http://dx.doi.org/10.3390/electronics11111680.

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The optimal integration of photovoltaic generation systems is a challenge for distribution utilities since these devices have a direct impact on company finances due to the large amount of investment required at the beginning of the planning project. In this investigation, the problem regarding the optimal siting and sizing of photovoltaic resources in medium-voltage levels is addressed from an economical point of view, where the optimization model that represents said problem corresponds to a mixed-integer nonlinear programming model. The maximum allowed size for single photovoltaic units in

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Ji, Junliang, Minle Wang, Chang'an Shang, and Jiale Gao. "Application of Improved Quantum Genetic Algorithm in Optimization for Surface to Air Anti-Radiation Hybrid Group Force Deployment." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 37, no. 5 (2019): 992–99. http://dx.doi.org/10.1051/jnwpu/20193750992.

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In this paper, the concept and force deployment needs for anti-electronic jamming and defensing air of surface to air anti-radiation hybrid group was presented, the relationship between shield angle, deployment distance and effective electronic interference etc, were analyzed in the background of air raid battle which is with electronic support, force deployment optimization model of surface to air anti-radiation hybrid group was built based on the kill zone target function. In terms of the characteristic of hybrid group force deployment, quantum genetic algorithm (QGA) was improved with self-

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Yang, Yang, Huiwen Hou, Gang Yao, and Bo Wu. "Vortex-Induced Vibration Performance Prediction of Double-Deck Steel Truss Bridge Based on Improved Machine Learning Algorithm." Journal of Marine Science and Engineering 13, no. 4 (2025): 767. https://doi.org/10.3390/jmse13040767.

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The span of a double-deck cross-sea bridge that can be used for both highway and railway purposes is usually 1 to 16 km. Compared with small-span bridges and single-layer main girder forms, its lightweight design and low damping characteristics make it more prone to vortex-induced vibration (VIV). To predict the VIV performance of a double-deck steel truss (DDST) girder with additional aerodynamic measures, the VIV response of a DDST bridge was investigated using wind tunnel tests and numerical simulation, a learning sample database was established with numerical simulation results, and a pred

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Avellaneda-Gómez, Laura Sofía, Brandon Cortés-Caicedo, Oscar Danilo Montoya, and Jesús M. López-Lezama. "Integration of Distributed Energy Resources in Unbalanced Networks Using a Generalized Normal Distribution Optimizer." Computation 13, no. 6 (2025): 146. https://doi.org/10.3390/computation13060146.

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This article proposes an optimization methodology to address the joint placement as well as the capacity design of PV units and D-STATCOMs within unbalanced three-phase distribution systems. The proposed model adopts a mixed-integer nonlinear programming structure using complex-valued variables, with the objective of minimizing the total annual cost—including investment, maintenance, and energy purchases. A leader–followeroptimization framework is adopted, where the leader stage utilizes the Generalized Normal Distribution Optimization (GNDO) algorithm to generate candidate solutions, while th

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Oscar, Danilo Montoya, Alberto Ramırez-Vanegas Carlos, and Fernando Grisales-Norena Luis. "Parametric estimation in photovoltaic modules using the crow search algorithm." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (2022): 82–91. https://doi.org/10.11591/ijece.v12i1.pp82-91.

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The problem of parametric estimation in photovoltaic (PV) modules considering man- ufacturer information is addressed in this research from the perspective of combinatorial optimization. With the data sheet provided by the PV manufacturer, a non-linear non-convex optimization problem is formulated that contains information regarding maximum power, open-circuit, and short-circuit points. To estimate the three parameters of the PV model (i.e., the ideality diode factor (a) and the parallel and series resistances (R p and R )), the crow search algorithm (CSA) is employed, which is a metaheuristic

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Gong, Yu, Erzsébet Szeréna Zoltán, and János Gyergyák. "A Neural Network Trained by Multi-Tracker Optimization Algorithm Applied to Energy Performance Estimation of Residential Buildings." Buildings 13, no. 5 (2023): 1167. http://dx.doi.org/10.3390/buildings13051167.

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Energy performance analysis in buildings is becoming more and more highlighted, due to the increasing trend of energy consumption in the building sector. Many studies have declared the great potential of soft computing for this analysis. A particular methodology in this sense is employing hybrid machine learning that copes with the drawbacks of single methods. In this work, an optimized version of a popular machine learning model, namely feed-forward neural network (FFNN) is used for simultaneously predicting annual thermal energy demand (ATED) and annual weighted average discomfort degree-hou

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Montoya, Oscar Danilo, Alexander Molina-Cabrera, Luis Fernando Grisales-Noreña, Ricardo Alberto Hincapié, and Mauricio Granada. "Improved Genetic Algorithm for Phase-Balancing in Three-Phase Distribution Networks: A Master-Slave Optimization Approach." Computation 9, no. 6 (2021): 67. http://dx.doi.org/10.3390/computation9060067.

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This paper addresses the phase-balancing problem in three-phase power grids with the radial configuration from the perspective of master–slave optimization. The master stage corresponds to an improved version of the Chu and Beasley genetic algorithm, which is based on the multi-point mutation operator and the generation of solutions using a Gaussian normal distribution based on the exploration and exploitation schemes of the vortex search algorithm. The master stage is entrusted with determining the configuration of the phases by using an integer codification. In the slave stage, a power flow

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Wang, Chao, Zhenhua Shen, Yin Luo, Xin Wu, Guoyou Wen, and Shijun Qiu. "Research on Performance Prediction of Elbow Inline Pump Based on MSCSO-BP Neural Network." Water 17, no. 8 (2025): 1213. https://doi.org/10.3390/w17081213.

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The vertical inline pump, a single-stage centrifugal pump with a bent elbow inlet, is widely used in marine engineering. The unique water inlet passage combined with uneven inflow at the impeller inlet tends to form an inlet vortex and secondary flow area, which reduces performance and causes vibration. To predict the performance of the elbow inline pump, this study uses spline curve fitting for the centerline and cross-sectional shape of the elbow passage. With four elbow inlet variables from experimental design as the input layer and targeting efficiency under pump operating conditions, a pu

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Latreche, Y., H. R. E. H. Bouchekara, M. S. Javaid, M. M. Aman, H. Mokhlis, and F. Kerrour. "Optimal incorporation of multiple distributed generation units based on a new system maximum loadability computation approach and vortex searching algorithm." International Journal of Applied Power Engineering 8, no. 2 (2019): 186–208. https://doi.org/10.11591/ijape.v8.i2.pp186-208.

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In this paper, the optimal incorporation of distributed generation (OIDG) units for the maximization of the system"s loadability is investigated (based on sizing and siting). To this end a new computational approach for computing maximum loadability of the system is developed. This approach has been compared with the classical one on different radial test systems (RTS) and is found to be faster and more accurate. The OIDG problem is formulated mathematically as an optimization problem with the objective function to maximize system"s loadability, the imposed constraints are; voltage limits, the

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Y., Latreche, R. E. H. Bouchekara H., S. Javaid M., M. Aman M., Mokhlis H., and Kerrour F. "Optimal incorporation of multiple distributed generation units based on a new system maximum loadability computation approach and vortex searching algorithm." International Journal of Applied Power Engineering 8, no. 2 (2019): 186~208. https://doi.org/10.5281/zenodo.7354602.

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In this paper, the optimal incorporation of distributed generation (OIDG) units for the maximization of the system"s loadability is investigated (based on sizing and siting). To this end a new computational approach for computing maximum loadability of the system is developed. This approach has been compared with the classical one on different radial test systems (RTS) and is found to be faster and more accurate. The OIDG problem is formulated mathematically as an optimization problem with the objective function to maximize system"s loadability, the imposed constraints are; voltage limits, the

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Rodríguez-Sevillano, Ángel Antonio, Rafael Bardera-Mora, Alejandra López-Cuervo-Alcaraz, et al. "Automation of Winglet Wings Geometry Generation for Its Application in TORNADO." Algorithms 16, no. 9 (2023): 439. http://dx.doi.org/10.3390/a16090439.

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The paper outlines an algorithm for the rapid aerodynamic evaluation of winglet geometries using the TORNADO Vortex Lattice Method. It is a very useful tool to obtain a first approximation of the aerodynamic properties and for performing an optimization of the geometry design. The TORNADO tool is used to systematically calculate the aerodynamic characteristics of various wings with wingtip devices. The fast response of the aerodynamic models allows obtaining a set of results in a remarkably short time. Therefore, the development of an algorithm to generate wing geometries with great ease and c

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Latreche, Y., H. R. E. H. Bouchekara, M. S. Javaid, M. M. Aman, H. Mokhlis, and F. Kerrour. "Optimal incorporation of multiple distributed generation units based on a new system maximum loadability computation approach and vortex searching algorithm." International Journal of Applied Power Engineering (IJAPE) 8, no. 2 (2019): 186. http://dx.doi.org/10.11591/ijape.v8.i2.pp186-208.

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In this paper, the optimal incorporation of distributed generation (OIDG) units for the maximization of the system‟s loadability is investigated (based on sizing and siting). To this end a new computational approach for computing maximum loadability of the system is developed. This approach has been compared with the classical one on different radial test systems (RTS) and is found to be faster and more accurate. The OIDG problem is formulated mathematically as an optimization problem with the objective function to maximize system‟s loadability, the imposed constraints are; voltage limits, the

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Liu, Shuo, Zhengfei Wang, Tao Wang, et al. "Energy-Optimized Path Planning for Fully Actuated AUVs in Complex 3D Environments." Journal of Marine Science and Engineering 13, no. 7 (2025): 1269. https://doi.org/10.3390/jmse13071269.

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This paper presents an energy-optimized path planning approach for fully actuated autonomous underwater vehicles (AUVs) in three-dimensional ocean environments to enhance their operational range and endurance. A fully actuated AUV is characterized by its high degrees of freedom and precise controllability. Using real terrain data, we construct environmental models incorporating a Lamb vortex and random obstacles. We develop a mathematical model of the AUV’s total energy consumption, accounting for constraints imposed by its fully actuated design and extensive maneuverability. To minimize energ

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Sanin-Villa, Daniel, Oscar Danilo Montoya, Walter Gil-González, Luis Fernando Grisales-Noreña, and Alberto-Jesus Perea-Moreno. "Parameter Estimation of a Thermoelectric Generator by Using Salps Search Algorithm." Energies 16, no. 11 (2023): 4304. http://dx.doi.org/10.3390/en16114304.

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Thermoelectric generators (TEGs) have the potential to convert waste heat into electrical energy, making them attractive for energy harvesting applications. However, accurately estimating TEG parameters from industrial systems is a complex problem due to the mathematical complex non-linearities and numerous variables involved in the TEG modeling. This paper addresses this research gap by presenting a comparative evaluation of three optimization methods, Particle Swarm Optimization (PSO), Salps Search Algorithm (SSA), and Vortex Search Algorithm (VSA), for TEG parameter estimation. The proposed

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Jing, Teng, Haoran Sun, Jianan Cheng, and Ling Zhou. "Optimization of a Screw Centrifugal Blood Pump Based on Random Forest and Multi-Objective Gray Wolf Optimization Algorithm." Micromachines 14, no. 2 (2023): 406. http://dx.doi.org/10.3390/mi14020406.

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The centrifugal blood pump is a commonly used ventricular assist device. It can replace part of the heart function, pumping blood throughout the body in order to maintain normal function. However, the high shear stress caused by the impeller rotating at high speeds can lead to hemolysis and, as a consequence, to stroke and other syndromes. Therefore, reducing the hemolysis level while ensuring adequate pressure generation is key to the optimization of centrifugal blood pumps. In this study, a screw centrifugal blood pump was used as the research object. In addition, pressure generation and the

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Özkış, Ahmet, and Ahmet Babalık. "A novel metaheuristic for multi-objective optimization problems: The multi-objective vortex search algorithm." Information Sciences 402 (September 2017): 124–48. http://dx.doi.org/10.1016/j.ins.2017.03.026.

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Wang, Zhaowei, Guomin Wu, and Zhongping Wan. "A novel hybrid vortex search and artificial bee colony algorithm for numerical optimization problems." Wuhan University Journal of Natural Sciences 22, no. 4 (2017): 295–306. http://dx.doi.org/10.1007/s11859-017-1250-5.

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Montoya, Oscar Danilo, Carlos Alberto Ramírez-Vanegas, and Luis Fernando Grisales-Noreña. "Parametric estimation in photovoltaic modules using the crow search algorithm." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (2022): 82. http://dx.doi.org/10.11591/ijece.v12i1.pp82-91.

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<p>The problem of parametric estimation in photovoltaic (PV) modules considering manufacturer information is addressed in this research from the perspective of combinatorial optimization. With the data sheet provided by the PV manufacturer, a non-linear non-convex optimization problem is formulated that contains information regarding maximum power, open-circuit, and short-circuit points. To estimate the three parameters of the PV model (i.e., the ideality diode factor (a) and the parallel and series resistances (R<sub>p</sub> and R<sub>s</sub>)), the crow search a

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Wang, Qing, and Qijun Zhao. "Rotor blade aerodynamic shape optimization based on high-efficient optimization method." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 2 (2019): 375–87. http://dx.doi.org/10.1177/0954410019865700.

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In order to design a high-performance rotor, a high-efficient optimization method is established by coupling Kriging model and sequential quadratic programming with high-accuracy computational fluid dynamics method. In order to obtain the global optimal design point, the initial blade shape is optimized by using the Kriging model coupled with genetic algorithm based on the baseline rotor blade (Helishape 7A rotor). After that, the modified sequential quadratic programming method is employed to search the final blade shape based on the initial blade shape deeply. In the optimal process, the reg

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Wang, Jiaju, Kunfeng Liang, Tao He, et al. "Optimization Design of Centrifugal Fan Blades Based on Bézier Curve Method." Applied Sciences 15, no. 9 (2025): 5052. https://doi.org/10.3390/app15095052.

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In order to improve the aerodynamic performance of the voluteless centrifugal fan, a multi-objective optimization design system was established by combining parametric modeling, experimental design, surrogate models, and optimization algorithms, with the static pressure and static pressure efficiency of the fan as the optimization objectives. The design parameters of the blade profile were obtained by fitting the blade profile with a Bézier curve. A mapping relationship between design parameters and optimization objectives was established by combining numerical simulation with a radial basis f

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Saka, Mustafa. "Optimal PID Controller Parameters Tuning via GOA and VSA for an AVR System." Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi 17, no. 1 (2025): 221–30. https://doi.org/10.29137/umagd.1537011.

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One of the very vital control scheme for power systems is automatic voltage regulator (AVR). Voltage instability may occur in the power systems when its cannot meet the reactive power demand. The reactive power balance in the power system is related to the terminal voltages of synchronous generators (SGs) in the system. The voltage stability for a synchronous generator can be provided with AVR. In this paper, proportional-integral-derivative (PID) controller has been used for controlled the AVR system. In order to determined optimal PID controller gains, two different optimization methods call

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