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6381
Performance Evaluation of a Radial Distribution Network Under Emerging Load Prediction Modeling Approach and DG Integration Using a Particle Swarm Optimization Algorithm
Published 2025-01-01“…This research presents a comprehensive performance evaluation of an 11-bus, 15 kV radial distribution network in Ethiopia, utilizing particle swarm optimization (PSO) to assess the impact of emerging load prediction models and distributed generation (DG) integration. …”
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6382
Facilitating Circular Transition in the Construction Industry: Optimizing a Prefabricated Construction Site Layout Using a Novel BIM-Integrated SLP-GA Model
Published 2024-09-01“…This study develops a BIM-based System Layout Planning-Genetic Algorithm (SLP-GA) model specifically tailored for prefabricated construction site optimisation. …”
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6383
Investigation and optimal design of band gap tunability in fractal phononic crystals
Published 2025-01-01“…This research deepens theoretical understanding and provides valuable guidance for optimizing their use in broadband acoustic control and energy harvesting applications.…”
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Structural Design and Experiment Analysis of a Morphing Wing Structure
Published 2020-03-01“…The performance of the algorithm is tested by the classical optimization algorithm test functions. …”
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6388
The impact of rainfall and slope on hillslope runoff and erosion depending on machine learning
Published 2025-04-01“…The Random Forest (RF) algorithm was employed to assess the impacts of these factors on runoff and sediment yield, along with a feature importance analysis.ResultsThe results show that rainfall amount has the most significant impact on runoff and sediment yield. …”
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6389
<strong>Hybrid neural network with genetic algorithms for predicting distribution pattern of <em>Tetranychus urticae</em> (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Ir...
Published 2017-01-01“… Today, with the advanced statistical techniques and neural networks, predictive models of distribution have been rapidly developed in Ecology. Purpose of this research is to predict and map the distribution of Tetranychus urticae Koch (Acari: Tetranychidae) using MLP neural networks combined with genetic algorithm in surface of farm. …”
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1.7 MV Tandem Accelerator Beam Tuning Optimization
Published 2025-03-01“…To augment the inherent efficiency and enhance the quality of the conventional manual beam-tuning methodology, this paper presented an innovative approach through the incorporation of a differential evolution (DE) algorithm. Initially, the architectural framework of the DE algorithm was meticulously delineated, serving as the bedrock of the methodological paradigm. …”
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Optimization of strutted beam parameters
Published 2021-01-01“…The objective of the research is to design strutted beams that have optimal parameters for metal consumption.Methods. …”
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6395
An adaptive, active noise reduction system in closed space
Published 2014-03-01“…The ANR system was made on the basis of an finite impulse response filter and realised by LMS or NLMS algorithms. Those algorithms were implemented on the dSPACE card with a floating-point processor TMS320C31. …”
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6396
Advancing Metaverse's experience through optimization of players’ decisions
Published 2025-06-01“…We propose a Decision Support System (DSS) employing genetic algorithms to assist players in tackling this complex optimization problem. …”
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Vehicle routing problem in a medical facility waste collection company: a comparative analysis of guided local search, simulated annealing and tabu search algorithm
Published 2025-03-01“…Vehicle Routing Problem (VRP) is closely related to real-life situations, particularly in logistics. Therefore, this research aimed to 1) solve VRP problem faced by a waste management company by comparing three algorithms, namely guided local search, tabu search, and simulated annealing. 2) summarize the development of VRP by comparing several variants, and 3) assess the environmental impact through sensitivity analysis. …”
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Optimization and characterization of wood decay mushroom Ganoderma adspersum extract: A comparison between response surface methodology and artificial neural network-ant lion algor...
Published 2025-04-01“…The study was designed in three steps: an experimental study, optimization of extraction conditions, and determination of bioactive properties of the optimum extracts. The main research problem was to determine the most effective extraction conditions to maximize the bioactive potential of G. adspersum using advanced optimization techniques. …”
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A Novel HGW Optimizer with Enhanced Differential Perturbation for Efficient 3D UAV Path Planning
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