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2001
Three-Dimensional Aerodynamic Optimization of Single-Layer Reticulated Cylindrical Roofs Subjected to Mean Wind Loads
Published 2019-01-01“…This paper presents a procedure to optimize the rise-to-span ratio of single-layer reticulated cylindrical roofs to improve their aerodynamic performance, by coupling the optimization method with computational fluid dynamics (CFD) and finite element analysis (FEA). …”
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2002
Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter
Published 2025-02-01“…The system integrates an incremental conductance-based maximum power algorithm (IC-MPA) to achieve efficient PV energy extraction and a bidirectional converter model to regulate battery charging/discharging operations, maintaining DC-link voltage stability. …”
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2003
Research on the method of weight calculation and equipment arrangement optimization of tramcar
Published 2022-01-01“…Based on Isight optimization platform, multi-objective optimization algorithm was adopted to improve the equipment layout. …”
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2004
Metaheuristic Optimization of Fractional Order Incremental Conductance (FO-INC) Maximum Power Point Tracking (MPPT)
Published 2019-01-01“…This paper seeks to improve the photovoltaic (PV) system efficiency using metaheuristic, optimized fractional order incremental conductance (FO-INC) control. …”
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2005
Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction
Published 2025-01-01“…In this paper, chaotic genetic algorithm is used to optimize the traditional support vector machine, and the problems of slow convergence and local convergence are solved by chaotic genetic algorithm, and an improved support vector machine horizontal well production prediction method is established. …”
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2006
Explainable Model of Fusion Network With Enhanced Optimization Approach for Tuberculosis Diagnosis
Published 2024-01-01“…The second approach utilizes the EAMSO (Ensemble of AMS Optimization model) for feature selection. It combines the results from AEO (Artificial Ecosystem-based Optimization), MBO (Monarch butterfly optimization), and Seagull-Algorithm to form three optimized feature subsets. …”
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2007
A Bilevel Programming Approach for Optimizing Multi-Satellite Collaborative Mission Planning
Published 2024-09-01“…Considering the interaction of these decisions, we formulate the problem as a bilevel programming model from a game-theoretic perspective and propose a nested bilevel improved genetic algorithm (NBIGA) for its solution. …”
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2008
Sperm swarm optimization for many objective power flow problems with enhanced performance evaluation in power systems
Published 2025-05-01“…Abstract This research presents an advanced optimization framework motivated from biological sources using the Sperm Swarm Optimization (SSO) algorithm to specifically deal with the Many-Objective Optimal Power Flow (MaO-OPF) problem in power systems. …”
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2009
Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection
Published 2025-01-01“…To solve the resulting optimization problem efficiently, we develop a tailored algorithm based on operator splitting techniques, significantly improving computational efficiency without sacrificing accuracy. …”
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2010
Leveraging prior mean models for faster Bayesian optimization of particle accelerators
Published 2025-04-01“…Abstract Tuning particle accelerators is a challenging and time-consuming task that can be automated and carried out efficiently using suitable optimization algorithms, such as model-based Bayesian optimization techniques. …”
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2011
Study on performance optimization for Chinese speech retrieval
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2012
Research on cutting mechanism and process optimization method of gear skiving
Published 2025-02-01“…Furthermore, a prediction model of cutting force and cutting temperature is established using a neural network optimized by genetic algorithm. …”
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2013
Design of intelligent optimization of sports strategy and training decision support system based on deep reinforcement learning
Published 2025-08-01“…The data is preprocessed by a sliding window average filter algorithm to eliminate noise and outliers. The system adopts the DQN (Deep Q-Network) architecture and applies dual DQN technology to improve model stability. …”
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2014
Study on performance optimization for Chinese speech retrieval
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2015
Development of compact mechanism for lithium-ion battery venting gas fires using Cantera ordinary differential equation neural network algorithm
Published 2025-06-01“…This integration allows for the optimization of a wide range of chemical reactions, improving both the precision and versatility of reaction mechanism development. …”
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2016
Improved food recognition using a refined ResNet50 architecture with improved fully connected layers
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2017
Multi-objective Optimization Design for a Kind of Three-translation Parallel Robot Mechanism
Published 2019-02-01“…A kind of 2RRPaR+PPaP three translational space parallel mechanism is designed, and the forward and inverse position solutions equation and Jacobi matrix of the mechanism are derived. The optimization mathematical model is set up with the optimization goal of workspace and global dexterity. …”
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2018
Research on Multi-objective Shielding Intelligent Optimization Method Based on Non-dominated Sorting Genetic Algorithm NSGA-Ⅲ
Published 2025-02-01“…This meticulous process resulted in the selection of a series of improved shielding solutions. In addition, a realistic 3D Monte-Carlo computational model was built to rigorously evaluate the shielding effectiveness of these optimized solutions. …”
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2019
Robust dispatch for electrical–thermal combined smart building considering impacts of uncertainties on thermal side
Published 2025-10-01“…The close connection between electrical energy and thermal energy is an important attribute of current smart buildings. Most previous works aim to emphasize the important role of the power side, thus neglecting the accuracy of the thermal side model. …”
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2020
Numerical modeling and neural network optimization for advanced solar panel efficiency
Published 2025-07-01“…Conventionally, such optimization techniques—MPPT (Maximum Power Point Tracking) along with heuristic algorithms—suffer significantly from slow adaptability and track sub optimality under dynamic environments. …”
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