Søgeresultater - optimization algorithm
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Evidence, Guidelines and Treatment Algorithms for Patients with Arterial Hypertension and Dyslipidemia: the Need for Compromise and Optimization of Tactics in Practical Healthcare
Udgivet 2019-09-01Få fuldtekstThe scientific basis of the selection algorithms for the management of patients with hypertension and hypercholesterolemia is presented in article. The advantages and limitations of current recommendations on the management of patients with hypercholesterolemia, which were presented by American and...
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An improved human evolutionary optimization algorithm for maximizing green hydrogen generation in intelligent energy management system (IEMS)
Udgivet 2025-09-01Fag: Få fuldtekstThis research presents an Intelligent Energy Management System (IEMS) based on the Internet of Things (IoT), fog, and cloud layers. IEMS is designed to optimize green hydrogen production at fog nodes within an IoT based on nanotechnology. The IEMS leverages an Improved Human Evolutionary Optimizatio...
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A genetic algorithm approach to green vehicle routing: Optimizing vehicle allocation and route planning for perishable products
Udgivet 2025-05-01“...Utilizing a Genetic Algorithm (GA), the model demonstrates its effectiveness in achieving near-optimal solutions that balance economic, environmental, and quality-focused goals. ...”This paper introduces a novel approach to the Green Vehicle Routing Problem (GVRP) by integrating multiple trips, heterogeneous vehicles, and time windows, specifically applied to the distribution of bakery products. The primary objective of the proposed model is to optimize route planning and vehic...
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ALGORITHM OF MARKETING DECISION-MAKING AIMED AT OPTIMIZING PORTFOLIO OF INDUSTRIAL SERVICES PROVIDED BY MANUFACTURER OF ELECTRO-TECHNICAL EQUIPMENT
Udgivet 2017-09-01“...The article provides an algorithm of marketing decision-making aimed at optimization of portfolio of services, which can allow us to study the existing service portfolio, forecast the trend of its development and offer optimal set of services with maximum possibility of success....”Marketing of industrial services is interesting due to specific features of inner marketing processes. The article analyzes existing market of industrial electro-technical equipment and the portfolio of services of its key players. The author supports the idea that equipment manufacturer offers the...
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506
Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data
Udgivet 2025-07-01“...This work implements an evolutionary artificial intelligence algorithm that mimics natural selection processes, providing automatic search for the optimal gait phase detector parameters by minimizing the error between the trajectory obtained from inertial measurement units and the reference (optical) trajectory acquired using an OptiTrack system. ...”The aim of this study was to develop and experimentally validate an algorithm for automatic selection of filter frequency characteristics and detection threshold in order to enhance the accuracy and reliability of gait phase detection. This challenge is crucial not only for objective rehabilitation...
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507
Tuning of Novel Fractional Order Fuzzy PID Controller for Automatic Voltage Regulator using Grasshopper Optimization Algorithm
Udgivet 2024-02-01Fag: Få fuldtekstOne of the most important equipment in the power system is the Automatic Voltage Regulator (AVR) or synchronous generator excitation. The goal of the system is to maintain the terminal voltage of the synchronous generator in the desired level. AVR is inherently uncertain. Hence, the proposed control...
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A comparative study of drones path planning and bezier curve optimization based on multi-strategy search algorithm.
Udgivet 2025-01-01“...The study compares three algorithms: Rapidly-exploring Random Trees (RRT), Ant Colony Optimization (ACO), and A*. ...”With the growing use of drones in urban monitoring and emergency search and rescue, the three-dimensional environments they navigate are becoming more complex, including high-rise buildings, underground pipelines, and dynamic obstacles. Efficient path planning is crucial for drones to respond quickl...
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509
Multiobjective optimization of dielectric, thermal, and mechanical properties of inorganic glasses utilizing explainable machine learning and genetic algorithm
Udgivet 2025-06-01Fag: “...genetic algorithm...”Abstract To meet the demands of advanced electronic devices, inorganic glasses are required to have comprehensive dielectric, thermal, and mechanical properties. However, the complex composition–property relationship and vast compositional diversity hinder optimization. This study developed machine...
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510
Optimization of the Morphological Parameters of a Metal Foam for the Highest Sound Absorption Coefficient Using Local Search Algorithm
Udgivet 2020-07-01Fag: Få fuldtekstDue to its unique features, the metal foam is considered as one of the newest acoustic absorbents. It is a navel approach determining the structural properties of sound absorbent to predict its acoustical behavior. Unfortunately, direct measurements of these parameters are often difficult. Currently...
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Air quality prediction enhanced by a CNN-LSTM-Attention model optimized with an advanced dung beetle algorithm
Udgivet 2025-08-01“...This study proposes a hybrid CNN-LSTM-Attention model optimized with an improved Dung Beetle Optimization (IDBO) algorithm to enhance predictive performance. ...”Air pollution significantly impacts human health and socioeconomic development, making accurate air quality prediction crucial. This study proposes a hybrid CNN-LSTM-Attention model optimized with an improved Dung Beetle Optimization (IDBO) algorithm to enhance predictive performance. IDBO integrat...
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512
Optimizing Land Use Classification Using Google Earth Engine: A Comparative Analysis of Machine Learning Algorithms
Udgivet 2025-07-01Få fuldtekstLand use and land cover (LULC) mapping provides crucial information for sustainable development, urban planning, disaster risk assessment, and mitigation. Various approaches are used for LULC classification in remote sensing, but machine learning has recently gained significant popularity. This pape...
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Enhanced Robust Control of Induction Motor Using Combined Optimal Model Predictive Control With Super-Twisting Algorithm
Udgivet 2025-06-01“...This paper presents a novel strategy for induction motor control that combines Optimal Model Predictive Control (OMPC) with the Super-Twisting Algorithm (STA) to enhance the performance of field-oriented control (IFOC) strategy under disturbances and uncertainties. ...”This paper presents a novel strategy for induction motor control that combines Optimal Model Predictive Control (OMPC) with the Super-Twisting Algorithm (STA) to enhance the performance of field-oriented control (IFOC) strategy under disturbances and uncertainties. OMPC is exploited for its capab...
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Ultra-Broadband, Fabrication Tolerant Optical Coupler for Arbitrary Splitting Ratio Using Particle Swarm Optimization Algorithm
Udgivet 2020-01-01Få fuldtekstThis work presents a design approach of multi-segment directional couplers with ultra-broadband flat spectra and benign fabrication tolerance on the silicon nitride platform. Using particle swarm optimization, we optimize design parameters of multiple coupling regions and asymmetric decoupling regio...
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Gray Wolf Optimization and Least Square Estimatation As A New Learning Algorithm For Interval Type-II ANFIS
Udgivet 2019-03-01“...We are checking the new learning algorithm by using the interval type-2 ANFIS in prediction of Mackey-Glass time series and the results were very encouraging compared to other algorithms. ...”Gray Wolfe Optimization (GWO) is one of the meta-heuristic method and it is a popular technique in Many engineering and economic applications. GWO and Least Square Estimatation (LSE) are used to optimize the antecedents and consequents parameters of interval type-2 ANFIS respectively. We are checki...
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Coordinated optimal scheduling of island microgrid for power-hydrogen-carbon integration based on SAO-NSGA-II algorithm
Udgivet 2025-06-01“...In response to the high curtailment rate of solar energy and the frequent startup and shutoff operations of diesel generators， which lead to high carbon emissions in island microgrids， this paper proposes a coordinated optimal scheduling strategy for power-hydrogen-carbon integration based on the snow avalanche optimization-based non-dominated sorting genetic algorithm II （SAO-NSGA-II）. ...”In response to the high curtailment rate of solar energy and the frequent startup and shutoff operations of diesel generators， which lead to high carbon emissions in island microgrids， this paper proposes a coordinated optimal scheduling strategy for power-hydrogen-carbon integration based on the sn...
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The Information System of Mass Notification in Emergency Situations with an Algorithm of Optimization of Evacuation Plans Based on the Client — Server Architecture
Udgivet 2019-06-01“...To find an effective path, three parameters are important, i.e., distance; the available spaciousness of the emergency shelter; and speed. Thanks to the algorithm, it is possible to calculate the optimal path for each victim individually, adjusting the distance depending on the speed and fullness of the shelter. ...”The purpose of this article is to develop a modern information system for mass notification. The system must take into account the disadvantages of all existing systems. The aim has been achieved by the development and implementation of the program complex of an algorithm for construction the effect...
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Aerodynamic Optimization of a Wind Turbine Blade Designed for Egypt's Saharan Environment Using a Genetic Algorithm
Udgivet 2015-08-01Fag: Få fuldtekstThis work aims to optimize the aerodynamic parameters (airfoil chord lengths and twist angles smoothed using Bezier curves) of the NREL 5MW wind turbine and a wind turbine designed for site-specific wind conditions to increase the wind turbine's annual energy production (AEP) under this site co...
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Comparative Analysis of Artificial Neural Networks and Evolutionary Algorithms in DEA-<i>β</i>-MSV Portfolio Optimization
Udgivet 2025-06-01“...The empirical results demonstrate that portfolios optimized with ANNs exhibit significantly lower risk compared to those derived from evolutionary algorithms, highlighting the superiority of ANN-based approaches in balancing risk and return under the proposed framework. ...”This paper proposes a hybrid methodology for portfolio optimization by integrating the data envelopment analysis (DEA) model with the mean semivariance (MSV) framework. The goal is to construct portfolios that achieve targeted returns while minimizing downside risk. The methodology comprises two sta...
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Path planning in radioactive environment of nuclear facilities based on modified A-star algorithm and search neighborhood optimization
Udgivet 2025-10-01“...Compared with the Probabilistic Roadmap Method (PRM), PRM has the shortest computation time due to its random sampling characteristics, but the cumulative dose and path length are higher than the two A-star algorithms. For models of varying complexity, optimizing the number of search neighborhoods further enhances search efficiency without affecting path planning results. ...”An improved A-star algorithm is proposed in this paper for path planning in the radioactive environment of nuclear facilities. The heuristic function is defined as the estimated dose from the current node to the end point. A dynamic weighting scheme is introduced to balance the actual cost and the e...
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