Prediction of Interest Rate Using Artificial Neural Network and Novel Meta-Heuristic Algorithms by Milad Shahvaroughi Farahani

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The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

“…The tasks to be solved are: study the stability of a closed-loop control system with a neural network controller, train the neurocontroller and Lyapunov neural network function, create an optimization model for the loss function minimization, and conduct a computational experiment as an example of the neural network stabilizing controller synthesis. …”
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Optimal Design of a Micro Reversible Pump Turbine for Balancing Generation Mode and Storage Mode by Tengjiao Guo, Jiale Pan, Ran Tao, Ruofu Xiao

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The Hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm: A New Hybrid Algorithm for Sizing Optimization and Design of Microgrids by Ipek Cetinbas, Bunyamin Tamyurek, Mehmet Demirtas

“…Later, the hybrid algorithm is tested on a microgrid that consists of a photovoltaic (PV) system, a wind turbine (WT) system, a battery energy storage system (BESS), diesel generators (DGs), and a commercial type load. For the optimal capacity planning of these components, a problem in which the loss of power supply probability (LPSP) and the cost of energy (COE) are defined as the objective function is formulated. …”
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Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach by Hoang Nhat-Duc, Nguyen Quoc-Lam

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Physics-Informed Deep Learning for Three Dimensional Black Holes by Emad Yaraie, Hossein Ghaffarnejad, Mohammad Farsam

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Multi-Objective Optimization of Gear Design of E-Axles to Improve Noise Emission and Load Distribution by Luciano Cianciotta, Marco Cirelli, Pier Paolo Valentini

“…The proposed method consists of the application of two sequential optimization procedures. The first one focuses on the gears’ macro-geometry, based on an objective function that combines the contact ratio, power loss, and center distance. …”
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Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Optimal Current Harmonic Mitigation by Employing Active Power Filter by Sushree Sangita Patnaik, Anup Kumar Panda

“…This paper proposes the implementation of particle swarm optimization (PSO) and bacterial foraging optimization (BFO) algorithms which are intended for optimal harmonic compensation by minimizing the undesirable losses occurring inside the APF itself. …”
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Performance optimization of active RIS-assisted near-shore dual-function radar communicaiton system by XU Miao, YUE Dianwu, SUN Yu, WU Xiangkai, YUAN Meng

“…An alternating optimization algorithm based on fractional programming theory and the Lagrangian operator method was proposed. …”
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Optimal Power Flow using An Optimally Tuned Pattern Search Algorithm by Firmansyah Nur Budiman, Taufal Hidayat, Rudi Uswarman

“…The performance of the OPS algorithm is evaluated based on objective function values and computation times and is compared with IPM and two popular metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA). …”
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An improved polar lights optimization algorithm for global optimization and engineering applications by Tianping Huang, Faguo Huang, Zhaohui Qin, Jiafang Pan

“…The validation outcomes on the CEC2017, CEC 2019, and CEC 2022 benchmark functions, along with four engineering design issues, further substantiate the efficacy of the IPLO algorithm in tackling intricate real-world optimization tasks. …”
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Combining the unequal variance signal detection model with the health belief model to optimize shared decision making in tinnitus patients: part 2—patient profiling by Zsófia Zs Lehóczky, Zsófia Zs Lehóczky, Adriana L. Smit, Adriana L. Smit, Sarah Kaldenbach, Arnold Lieftink, Arnold Lieftink, Huib Versnel, Huib Versnel, Robert J. Stokroos, Robert J. Stokroos, Alexander E. Hoetink, Alexander E. Hoetink

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A multi-objective optimization framework for functional layer design in solid oxide electrolysis cells by Hassan Salihi, Kisung Lim, Neil Vaz, Sun Dong Kim, Hyunchul Ju

“…Solid Oxide Electrolysis Cells (SOECs) present a promising solution for high-efficiency hydrogen production; however, their large-scale adoption requires optimized performance and cost-effectiveness. This study develops a multi-objective optimization (MOO) framework targeting the design of functional layers (FLs), specifically their thickness and porosity. …”
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Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network by G. Srinivasan, Kumar Reddy Cheepati, B. Srikanth Goud, Mohammed Alqarni, Basem Alamri, Ch. Rami Reddy

“…This study describes the optimization of Distribution Network Structure (DNS) by altering sectionalizing and tie-switches with Reactive Power Injections (RPI) through optimal nodes under three load variations considering five different cases in Electric Distribution Networks (EDNs) to reduce Energy Loss (E_Loss), thereby achieving Economic Benefit (EB), which is the first step process. …”
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Optimization, Characterization and Pharmacological Validation of the Endotoxin-Induced Acute Pneumonitis Mouse Model by Emese Ritter, Kitti Hohl, László Kereskai, Ágnes Kemény, Dóra Hargitai, Veronika Szombati, Anikó Perkecz, Eszter Pakai, Andras Garami, Ákos Zsembery, Zsuzsanna Helyes, Kata Csekő

“…<b>Results</b>: LPS-induced significant body weight loss, perivascular pulmonary edema, MPO activity increase, neutrophil infiltration, and respiratory function impairment in a dose-independent manner. …”
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End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

“…The result of the lower-level optimization is used as the loss function to optimize the forecasting weights in the upper level. …”
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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

“…Optimization can efficiently achieve various objective functions in power systems. …”
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Optimal Multi-Objective Design for Hybrid Renewable Energy System in Distribution System Considering Multi-Scenarios by Nguyen Nhat Tung

“…This paper presents an effective approach for determining optimal integration of renewable energy distributed generator (RE-DGs) of solar farms (SFs) and wind farms (WFs) in IEEE 69-node power distribution network (PDN) with target of minimizing (1) the single objective function of total active power loss and (2) multi-objective function including a) total active power loss, b) total reactive power loss, c) the voltage deviation and d) imported energy from the main power gird. …”
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Ev charging management in a real-time optimization framework considering operational constraints by Hilmi Cihan Güldorum, Ayşe Kübra Erenoğlu, İbrahim Şengör, Barry P. Hayes, Ozan Erdinç

“…The model compares three widely adopted objective functions: minimization of active power loss, charging cost, and uncontrolled charging impact, which is represented by minimizing the total charging time. …”
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Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network by Yi Zhou, ChangQing Zeng, ZhenDong Mu

“…In this article, the authors propose a functional brain network‐based driving fatigue detection method and seek to combine features and algorithms with optimal effect. …”
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