Search Results - optimization algorithm
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401
Prediction of Electric Vehicle Mileage According to Optimal Energy Consumption Criterion
Published 2024-06-01“…By representing the road network as a weighted directed graph tailored to the energy consumption model, an algorithm aids in mileage optimization by determining the optimal path for immediate use. …”In the field of electric vehicle usage, an inherent challenge lies in the restricted mileage capacity prior to requiring a recharge, hindering broader acceptance of electric vehicles. To alleviate this concern, enhancing the comprehension of vehicle energy consumption and range plays a pivotal role...
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402
Multiscale Identification of Parameters of Inhomogeneous Materials by Means of Global Optimization Methods
Published 2017-03-01“…Numerical homogenization with the use of a representative volume element is performed to obtain a macroscopically homogenized equivalent material. The evolutionary algorithm is applied as the global optimization method to solve the identification task. …”This paper deals with the identification of material parameters at a microscale on the basis of measurements at a macroscale. Inhomogeneous materials such as composites and porous media are considered. Numerical homogenization with the use of a representative volume element is performed to obtain a...
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403
Development and Optimization of the Internet of Things Network for Product Quality Monitoring
Published 2022-06-01Subjects: Get full textThe purpose of the article is to analyze methods, approaches and means of Internet of Things (IoT) technology for product quality control. The objectives of the article are: analysis of dairy farm management problems, development of the structure of the IoT network for milk quality analysis, develop...
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404
A Novel Voronoi-Driven Optimization Approach for Point-Based Sensor Network Deployment
Published 2025-01-01Subjects: Get full textSensor Networks (SNs) are gaining more attention in applications such as urban microclimate monitoring, which is a critical input for building energy simulation. Despite extensive research on SN placement, there remains a shortage of studies on efficient solutions that account for realistic sensing...
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405
Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations
Published 2025-06-01“…This study proposes an optimal capacity configuration method for supercapacitor energy storage systems (SCES) to mitigate wind power fluctuations and maintain power system stability. …”Under the background of "double carbon", the installed capacity of wind power grows year by year, characterized by intermittency and volatility, bringing challenges to the reliable operation of the power system. This study proposes an optimal capacity configuration method for supercapacito...
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406
Using Genetic Algorithm to Obtain Optimal Controllers for the DFIG Converters to Enhance Power System Operational Security
Published 2011Get full textNone
Electronic Book Chapter
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407
Modelling and Environmental/Economic Power Dispatch of MicroGrid Using MultiObjective Genetic Algorithm Optimization
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Electronic Book Chapter -
408
Optimized Hybrid Modulation Algorithm to Control Large Unbalances in Voltage and Intensity in the NP Point of an NPC Converter
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Electronic Book Chapter -
409
w-TG: A Combined Algorithm to Optimize the Runtime of the Grid-Based Workflow Within an SLA Context
Published 2012Get full textNone
Electronic Book Chapter -
410
Minimization of Feedback Loop Distortions in Digital Predistortion of a Radio-Over-Fiber System With Optimization Algorithms
Published 2017-01-01“…Then, the feedback loop is taken into account, and both the input and output signals are captured at the BBU side. Applying optimization algorithms, such as Fibonacci, Golden, or Powell, it is possible to seek the optimal attenuation value within only a few iterations, which minimizes the distortion of the feedback loop. …”This article proposes the linearization of an intensity modulation/direct detection radio-over-fiber (RoF) link with feedback loop. The goal is to carry out the predistortion process in a real scenario, in which the output signals are a few kilometers far from the baseband unit (BBU). First, the fee...
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411
ACIVY: An Enhanced IVY Optimization Algorithm with Adaptive Cross Strategies for Complex Engineering Design and UAV Navigation
Published 2025-07-01Subjects: “…Ivy optimization algorithm…”The Adaptive Cross Ivy (ACIVY) algorithm is a novel bio-inspired metaheuristic that emulates ivy plant growth behaviors for complex optimization problems. While the original Ivy Optimization Algorithm (IVYA) demonstrates a competitive performance, it suffers from limited inter-individual information...
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412
Improved Parallel Differential Evolution Algorithm with Small Population for Multi-Period Optimal Dispatch Problem of Microgrids
Published 2025-07-01“…In the new approach, the main population of the parallel algorithm is divided into several small populations, and each performs the original operators of a differential evolution algorithm, i.e., mutation, crossover, and selection, in different processes concurrently. …”Microgrids have drawn attention due to their helpfulness in the development of renewable energy. It is necessary to make an optimal power dispatch scheme for each micro-source in a microgrid in order to make the best use of fluctuating and unpredictable renewable energy. However, the computational t...
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413
Multi-objective Optimization of Staggered Tube Banks in Cross-flow Using Machine Learning and Genetic Algorithm
Published 2025-07-01Subjects: Get full textThis paper presents the numerical multi-objective optimization of staggered tube banks in cross-flow using neural networks and genetic algorithm. The objective is to determine the optimal dimensionless transverse and longitudinal pitches that establish a proper compromise between heat transfer enhan...
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414
Research on Heat Transfer Performance Prediction of Heat Exchanger Using Improved Particle Swarm Optimization Algorithm
Published 2025-01-01“…In the particle position updating method, the particle moves to the current best position with the calculated best position as the center, the cognitive direction of the particle is determined as the direction, and the linear inertial descending weight is used to realize the particle optimization. Using three different particle swarm optimization algorithms, namely fixed weight particle swarm optimization, linear descending weight particle swarm optimization and step mass particle swarm optimization, the heat transfer performance prediction algorithm of heat exchanger is designed according to the basic calculation principle of heat transfer performance. …”With the increase of running time, the heat exchanger will appear dirt and even blocked, affecting the performance of the equipment. In this paper, an adaptive particle cognitive domain method is proposed. In the particle position updating method, the particle moves to the current best position with...
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415
Optimizing Planar Antenna Arrays Using Genetic Algorithms for Enhanced Radar Performance in Direction of Arrival Estimation
Published 2025-07-01“… This paper proposes the optimization of planar antenna arrays for DOA estimation enhancement in radar systems, where accuracy and computational efficiency need to be well balanced. …”This paper proposes the optimization of planar antenna arrays for DOA estimation enhancement in radar systems, where accuracy and computational efficiency need to be well balanced. This work describes a new methodology using GAs to obtain an optimal configuration of the antenna elements, allowing a...
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416
Design and Implementation MPPT Improved Whale Optimization Algorithm to Overcome Partial Shading Condition on Solar Panel
Published 2025-04-01“…This partial shading condition cannot use conventional MPPT methods due to the complexity of finding GMPP. So, MPPT optimization method is needed, one of which is the Improved Whale Optimization Algorithm (IWOA). …”Solar energy is a type of renewable energy whose capacity is tremendous and fast in increasing its capacity so that it can be used for energy sustainability in the future. Solar panels are the only devices that can be used to utilize solar energy. Maximum Power Point Tracking (MPPT) is a method to m...
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417
Multi-Objective Optimization Based on Kriging Surrogate Model and Genetic Algorithm for Stiffened Panel Collapse Assessment
Published 2025-04-01Subjects: Get full textA hyperparameter-optimized Kriging surrogate model was developed for the structural collapse behavior framework presented in this paper. The assessment is conducted on a stiffened panel subject to axial load and lateral pressure, typical of the deck structure of a bulk carrier ship. This behavior is...
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418
PRINCIPLES FOR DEVELOPMENT OF OPTIMIZATION ALGORITHM FOR OPERATIONAL RELIABILITY OF DISTRIBUTIVE SYSTEMS WITH DUE ACCOUNT OF PROBABILITY IMPACT FACTORS
Published 2014-04-01Get full textReliability of distributive systems for electric supply of consumers is considered as a multi-criteria function. For this reason while developing an algorithm for determination of optimum reliability level of distributive networks it is necessary to take into account probability character...
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419
A Novel Conjugate Gradient Algorithm for Unconstrained Optimization and Its Application in COVID-19 Data Parameterization
Published 2025-06-01“… To solve unconstrained optimization problems, this study proposes a conjugate gradient (CG) algorithm that satisfies both the convergence and descent conditions. …”To solve unconstrained optimization problems, this study proposes a conjugate gradient (CG) algorithm that satisfies both the convergence and descent conditions. The technique improves on conventional CG techniques through guaranteeing quick convergence and increased solution accuracy across a rang...
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420
Optimizing anomaly detection models for edge IIoT with an enhanced firefly algorithm-based hyperparameter tuning strategy
Published 2025-09-01“…This work presents an Enhanced Firefly Algorithm (EFA) for optimizing the hyperparameters of ML models to enable effective and accurate threat detection in resource-constrained IIoT contexts, so addressing these challenges. …”Security issues in the Industrial Internet of Things (IIoT) have grown more serious as industrial automation rises as these networks are especially prone to cyberattacks. By means of adaptive attack detection models, machine learning (ML) presents a potential solution. High-dimensional hyperparamete...
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