Search Results - (( using application system algorithm ) OR ( using evolution based algorithm ))
Search alternatives:
- using application »
- system algorithm »
- using evolution »
- evolution based »
-
1
-
2
-
3
Text steganalysis using evolution algorithm approach
Published 2012Get full text
Get full text
Get full text
Conference or Workshop Item -
4
Optimized differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…Both architectures gave precise results for different selections of chirp rate that could fit with system specifications. The main contention of this thesis is to investigate the development of new optimization technique based on Differential Evolution algorithm (DE), applied for radar signal denoising application. …”
Get full text
Get full text
Thesis -
5
An Approach to Derive Parametric L-System Using Genetic Algorithm
Published 2009“…This paper examines a method for automatic plant modeling which is based on an integration of GA and Parametric L-System using appropriate fitness function. …”
Get full text
Get full text
Get full text
Book Section -
6
Mixed Unscented Kalman Filter and differential evolution for parameter identification
Published 2013“…Next, its parameters are identified using mixed Unscented Kalman Filter (UKF) and Differential Evolution (DE) based on the experimental data. …”
Get full text
Get full text
Get full text
Article -
7
Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution
Published 2014“…However, going by a first principle approach based on physical laws governing the dynamics of the system, this task is noted to be highly challenging due to the complex nonlinear characteristics of the helicopter system.On the other hand, the problem of determining network architecture for optimal/sub-optimal performances has been one of the major challenges in the use of the non parametric approach based on Nonlinear AutoRegressive with eXogenous inputs Network(NARX-network). …”
Get full text
Get full text
Get full text
Article -
8
The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
Get full text
Get full text
Thesis -
9
Reliability Assessment of Power Generation Systems Using Intelligent Search Based on Disparity Theory
Published 2017“…Disparity evolution is used to enhance the performance of the probability of mutation in a genetic algorithm (GA) by incorporating features from the paradigm into the disparity theory. …”
Get full text
Get full text
Get full text
Article -
10
Hybrid DE-PEM algorithm for identification of UAV helicopter
Published 2014“…Design/methodology/approach – In this study, flight data were collected and analyzed; MATLAB-based system identification algorithm was developed using DE and PEM; parameterized state-space model parameters were estimated using the developed algorithm and model dynamic analysis. …”
Get full text
Get full text
Get full text
Article -
11
Investigation and validation of an eleven level symmetric modular multilevel inverter using grey wolf optimization and differential evolution control algorithm for solar PV applica...
Published 2021“…Purpose: This paper aims to examine the design and control of a symmetric multilevel inverter (MLI) using grey wolf optimization and differential evolution algorithms. …”
Get full text
Get full text
Article -
12
Differential evolution for neural networks learning enhancement
Published 2008“…Evolutionary computation is the name given to a collection of algorithms based on the evolution of a population toward a solution of a certain problem. …”
Get full text
Get full text
Get full text
Thesis -
13
Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm
Published 2018“…However, the complexity of these processes requires an expert system that involves swarm intelligence-based metaheuristics such as Artificial Algae Algorithm (AAA), Artificial Bee Colony (ABC), Covariance Matrix Adaptation Evolution Strategy (CMAES) and Differential Evolution (DE) for simulation and optimization of the feeding trajectories. …”
Get full text
Get full text
Article -
14
Comparison between scheduling techniques in long term evolution
Published 2013“…The scheduling algorithms performances on the downlink were measured in terms of throughput and block error rate using a MATLAB-based system level simulation. …”
Get full text
Get full text
Get full text
Article -
15
Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm
Published 2015“…A recurrent neural network (RNN) based on non-linear autoregressive with exogenous inputs (NARX) model has been used to develop the dynamic model of the system. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
16
-
17
-
18
Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed
Published 2019“…Simulation results show that, at the high-level inverter, the proposed algorithm can easily find the feasible solutions, however, GA, PSO, bee algorithm (BA), and differential evolution (DE) face the difficulty due to less exploration capability. …”
Get full text
Get full text
Get full text
Thesis -
19
Design of digital circuit structure based on evolutionary algorithm method
Published 2008“…Evolutionary Algorithms (EAs) cover all the applications involving the use of Evolutionary Computation in electronic system design. …”
Get full text
Get full text
Get full text
Article -
20
Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Furthermore, it enables non-dominated evaluation of solutions based on four objectives using crowding distance for selection. …”
Get full text
Get full text
Thesis
