Search Results - (( simulation optimization model algorithm ) OR ( program implementation phase algorithm ))
Search alternatives:
- program implementation »
- implementation phase »
- optimization model »
- model algorithm »
- phase algorithm »
-
1
Experimental implementation controlled SPWM inverter based harmony search algorithm
Published 2023Article -
2
Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
Published 2016“…Two tests, as the IEEE 34 bus test and IEEE 13 bus test are implemented. Determination of power flow was done using Open Distribution System Simulator (OpenDSS) program which is suitable for electrical distribution networks. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
3
Energy Management System For Controlling Series Hybrid Electric Motorcycle
Published 2016“…Tuning and adaptation of the control algorithm had been demonstrated so developers can make use of them for their applications. …”
Get full text
Get full text
Thesis -
4
Form Finding And Shape Change Analysis Of Spine Inspired Bio-Tensegrity Model
Published 2017“…This study has also proposed a set of procedures involving incremental calculation for shape change analysis of SBS models. Numerical simulations of the regular tensegrity and SBS models have proven the superior convergent characteristic of the proposed algorithm for shape change analysis. …”
Get full text
Get full text
Thesis -
5
Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
Published 2019“…The three different optimization algorithms used in this study are the genetic algorithm (GA), particle swarm optimization (PSO) algorithm and shark machine learning algorithm (SMLA). …”
Get full text
Get full text
Article -
6
A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Published 2017“…Genetic algorithm and simulated annealing techniques are used to optimize the control parameters of the neural network. …”
Get full text
Get full text
Article -
7
Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
Get full text
Get full text
Thesis -
8
Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
Published 2008“…This paper involves engine modeling in 1D software simulation environment, GT-Power. …”
Get full text
Get full text
Proceeding Paper -
9
OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…Converter models for simulation are designed for the forward and backup modes of operation. …”
Get full text
Get full text
Citation Index Journal -
10
OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…Converter models for simulation are designed for the forward and backup modes of operation. …”
Get full text
Get full text
Citation Index Journal -
11
GENETIC ALGORITHM WITH DEEP NEURAL NETWORK SURROGATE FOR THE OPTIMIZATION OF ELECTROMAGNETIC STRUCTURE
Published 2020“…This paper will report on an initial study of the usage of Genetic Algorithm (GA) merged with Deep Neural Network based surrogate model to optimize simulation for electromagnetic structure. …”
Get full text
Get full text
Final Year Project -
12
Enhanced genetic algorithm optimization model for a single reservoir operation based on hydropower generation: case study of Mosul reservoir, northern Iraq
Published 2016“…The purpose of this study was to formulate and improve an approach of a genetic algorithm optimization model (GAOM) in order to increase the maximization of annual hydropower generation for a single reservoir. …”
Get full text
Get full text
Get full text
Article -
13
-
14
Optimization of Prediction Error in CO2 Laser Cutting process by Taguchi Artificial Neural Network Hybrid with Genetic algorithm
Published 2013“…The potential of genetic algorithm in optimization was utilized in the proposed hybrid model to minimize the error prediction for regions of cutting conditions away from the Taguchi based factor level points. …”
Get full text
Article -
15
The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction
Published 2023“…Balancing; Forecasting; Stream flow; Support vector machines; Exploitation and explorations; Machine learning models; Optimisations; Optimization algorithms; Prediction modelling; Simulated annealing integrated with mayfly optimization; Streamflow prediction; Support vector regression models; Support vector regressions; Support vectors machine; Simulated annealing; algorithm; mayfly; optimization; prediction; streamflow; support vector machine; Jhelum River…”
Article -
16
PIC-Based Controller for IGBT Inverter for 3-Phase Motor Drive
Published 2011“…This project covers the controller mechanism and algorithm for IGBT inverter in 3-phase motor implementation. …”
Get full text
Get full text
Final Year Project -
17
-
18
Ant colony optimization for rule induction with simulated annealing for terms selection
Published 2012Get full text
Get full text
Get full text
Conference or Workshop Item -
19
Implementation frequency translation by adapting digital phase shifter for WCDMA using XILINX
Published 2009Get full text
Get full text
Student Project -
20
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In this research, two novel estimation-based metaheuristic optimization algorithms, named as Simulated Kalman Filter (SKF), and single-solution Simulated Kalman Filter (ssSKF) algorithms are introduced for global optimization problems. …”
Get full text
Get full text
Thesis
