Parcourir par sujet "Optimization algorithms"
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Developing an Optimization Algorithm to form District Metered Areas in a Water Distribution System
(2016)Exploiting the numerous possibilities that unfold from the inter-connection of Matlab and Epanet software, an algorithm is produced in C++ language. The algorithm reads all the significant data of the water distribution ... -
Efficient Learning Rate Adaptation for Convolutional Neural Network Training
(2019)Convolutional Neural Networks (CNNs) have been established as substantial supervised methods for classification problems in many research fields. However, a large number of parameters have to be tuned to achieve high ... -
Evaluation of probabilistic demands usage for the online dial-a-ride problem
(2019)The objective of this study is to investigate if it is possible to reduce the operational cost of an online Demand Responsive Transportation System (DRT) by using probabilistic trip demands while leaving the optimization ... -
H-V shadow detection based on electromagnetism-like optimization
(2021)Shadow detection is useful in a variety of image analysis applications, as it can improve scene understanding. Most of the recent shadow detection approaches use near-infrared (NIR) cameras and deep learning to provide ... -
Modeling and optimization of flexural properties of FDM-processed PET-G specimens using RSM and GWO algorithm
(2022)As in every manufacturing process, fused deposition modeling (FDM) is strongly related to its operational parameters. 3D-printed components are anisotropic and brittle and this imposes the need to investigate the effect ... -
Optimization algorithms for system integration
(2008)This work outlines the optimization algorithms involved in integrating system analysis and measured data collected from a network of sensors. The integration is required for structural health monitoring problems arising ... -
Optimized Data-Driven Models for Short-Term Electricity Price Forecasting Based on Signal Decomposition and Clustering Techniques
(2022)In recent decades, the traditional monopolistic energy exchange market has been replaced by deregulated, competitive marketplaces in which electricity may be purchased and sold at market prices like any other commodity. ...