Search alternatives:
learning algorithm » learning algorithms (Expand Search)
using algorithm » cosine algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
implement » implemented (Expand Search), implementing (Expand Search)
element » elements (Expand Search)
learning algorithm » learning algorithms (Expand Search)
using algorithm » cosine algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
implement » implemented (Expand Search), implementing (Expand Search)
element » elements (Expand Search)
-
1
-
2
Teaching–learning-based optimization algorithm: analysis study and its application
Published 2024“…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …”
Get full text
-
3
-
4
-
5
A parallel tabu search algorithm for VLSI standard-cell placement
Published 2000“…In this work, tabu search placement algorithm is parallelized on a network of workstations using PVM. …”
Get full text
Get full text
article -
6
Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses
Published 2020Get full text
Get full text
Get full text
Get full text
conferenceObject -
7
Performance driven standard-cell placement using the geneticalgorithm
Published 1995“…In this paper we present a timing-driven placer for standard-cell IC design. The placement algorithm follows the genetic paradigm. …”
Get full text
Get full text
article -
8
-
9
LDSVM: Leukemia Cancer Classification Using Machine Learning
Published 2022“…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …”
-
10
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called arithmetic optimization algorithm (AOA), was proposed to address complex optimization tasks. …”
-
11
-
12
-
13
Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
Published 2013Get full text
doctoralThesis -
14
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
Published 2022“…Thus, to identify the best load forecasting method in cluster microgrids, this article implements a variety of machine learning algorithms, including linear regression (quadratic), support vector machines, long short-term memory, and artificial neural networks (ANN) to forecast the load demand in the short term. …”
-
15
Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer
Published 2023“…This study describes a residential thermal/electrical home energy system comprising a battery energy storage system and a combined heat and power fuel cell. The optimal planning of various energy resources is scheduled by a new optimization algorithm called Levy Flight and Chaos-assisted Artificial Rabbits Optimization (LFCARO), resulting in the lowest operational cost of this combined power system. …”
Get full text
Get full text
Get full text
article -
16
Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer
Published 2023“…This study describes a residential thermal/electrical home energy system comprising a battery energy storage system and a combined heat and power fuel cell. The optimal planning of various energy resources is scheduled by a new optimization algorithm called Levy Flight and Chaos-assisted Artificial Rabbits Optimization (LFCARO), resulting in the lowest operational cost of this combined power system. …”
-
17
Artificial neural network algorithms. (c1999)
Published 1999Get full text
Get full text
masterThesis -
18
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
Published 2025“…The convolutional neural network is optimized using genetic algorithms, which dynamically tune hyper-parameters such as learning rate, batch size, and momentum to improve performance and generalizability across diverse environmental conditions. …”
-
19
-
20
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
Published 2018Get full text
doctoralThesis