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optimizations » optimisation (Expand Search)
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421
Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms
Published 2004“…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …”
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422
An automated temporal partitioning tool for a class of DSP applications
Published 1998“…We present an automated temporal partitioning tool for developing dynamical ly recon gurable designs starting from behavior level speci cations for a class of dsp applications. An Integer Linear Programming (ilp) model is formulated to achieve near-optimal latency designs. …”
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423
A machine learning model for early detection of diabetic foot using thermogram images
Published 2021“…A comparison of the inference time for the best-performing networks confirmed that the proposed algorithm can be deployed as a smartphone application to allow the user to monitor the progression of the DFU in a home setting.…”
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424
Thyristor controlled phase shifter based stabilizer design usingsimulated annealing algorithm
Published 1999“…Then, SA algorithm is employed to search for optimal setting of stabilizer parameters. …”
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425
Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses
Published 2020“…This study proposes a genetic algorithm-based control strategy that optimizes the coefficient of performance of the HP system to decrease its energy consumption and maximize the driving range. …”
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426
Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
Published 2023“…This study proposes a novel approach for designing a fractional order proportional-integral-derivative (FOPID) controller that utilizes a modified elite opposition-based artificial hummingbird algorithm (m-AHA) for optimal parameter tuning. Our approach outperforms existing optimization techniques on benchmark functions, and we demonstrate its effectiveness in controlling cruise control systems with increased flexibility and precision. …”
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427
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428
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
Published 2023“…The results were obtained optimally, and we got 18 models, where each one had different high accurate outputs, that classify an individual to user and non-user. …”
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429
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431
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
Published 2022“…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …”
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432
Environmental/economic power dispatch using multiobjective evolutionary algorithms: a comparative study
Published 2003“…A comparative study of newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) applied to a nonlinear power system multiobjective optimization problem is presented in this paper. …”
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433
Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
Published 2018“…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …”
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434
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Published 2023“…The Particle swarm optimization method performs better in improving makespan, flow time, throughput time, response time, and degree of imbalance.…”
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435
Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
Published 2023“…The results show an optimum resource allocation with an information-based cost function that is optimized by an Auction Algorithm.…”
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436
Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces
Published 2021“…In this regard, two Bayesian optimization algorithms including Gaussian process regression (GPR) and gradient boosting regression trees (GBRT) are used for tuning the hyper-parameters (number of input and dense nodes, number of dense layers, activation function, batch size, Adam decay, and learning rate) of the deep neural network. …”
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437
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
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438
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…In the second step, we applied a wrapper technique called equilibrium optimizer to get optimized features and better classification accuracy. …”
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439
A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System
Published 2021“…Accordingly, a multi-chrome GA is adopted to find the association between UAVs and SPs, an optimal number of UAVs, and the optimal order of SPs for UAVs. …”
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440
Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
Published 2022“…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. Here, breast ultrasound (US) images are preprocessed with a sigmoid filter followed by interference-based despeckling and then by anisotropic diffusion. …”