Optimization of Parameters of the Chemic Kinetic Model By Improved Genetic Algorithms HAN Rui-feng Computer Science Department Xinzhou Teachers University
Abstract: Aiming at the parameter optimization of least square support vector machine (LS-SVM), an improved quantum-behaved particle swarm optimization (IQPSO) algorithm for LS-SVM parameter selection was proposed.
parameters and quality indexes of the water-lubricated metal rubber bearing, and an improved genetic algorithm method is applied in the process parameters robust optimization. At …
modeling is optimization of parameters (Elizalde and Ancheyta, 2011). In this study, the model parameters ... Optimization of Kinetic Lumping Model Parameters to Improve Products Quality in the Hydrocracking Process 759 α is a parameter of model. Both k max and α are positive
In mathematics, computer science and operations research, mathematical optimization or mathematical programming, alternatively spelled optimisation, is the selection of a best element (with regard to some criterion) from some set of available alternatives.
Optimization of parameters for improved secondary metabolite production by a novel endophytic fungus Fusarium sp. DF2 isolated from Taxus wallichiana of North East India.
i Optimization of Parameters to Improve Ventilation in Underground Mine Working using CFD A THESIS SUBMITTED IN PARTIAL FULLFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF
Optimization of Wax Tank Parameter to Improve the Quality of Wax… 51 Er. Charanjeet singh Sandhu and Er. Ajay Sharma has studied Investment casting process used for precision component manufacture calls for accurate method design.
PID Controller Parameter Tuning Based on Improved Particle Swarm Optimization Algorithm Yanzi Miao*, Yang Liu, Ying Chen and Huijie Jin SIEE, China University of …
In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
In this paper, multi objective optimization of Gas Metal Arc Welding GMAW) parameters are carried out to yield good mechanical strength in welded joints. Most of the failures are occurred on the welded elements due to the setting of improper welding parameters.
corrected value was used to estimate PID parameters by Ziegler-Nichols (ZN) method. Then these PID parameters were considered for Taguchi orthogonal array …
Are there any well-known algorithms for this kind of optimization? I've had moderate success with just trying random values. I'm wondering if I can improve the performance by making the random parameter chooser have a lower chance of picking parameters close to …
Register | Login Help Scopus Labs Quick Search 16 of 16 World Journal of Microbiology and Biotechnology Volume 24, Issue 1, January 2008, Pages 79-87
sical optimization technique was used to determine the minimum soaking time and temperature required for improved properties of the steel. Annealing treatment at 588˚C for 11 minutes at grain size of 44.7 m can be considered to be the
sical optimization technique was used to determine the minimum soaking time and temperature required for improved properties of the steel. An nealing treatment at 588 ˚ C for 11 minutes at grain size of 44.7 m can be considered to be the
International Journal of Chemical Engineering is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles on technologies for the production, processing, transportation, and use of chemicals on a large scale.
The preparation of quality surfaces is very important process in the surface engineering. The surface roughness will influence the quality and effectiveness of the subsequent coatings for protection against corrosion, wear resistance and finishes quality of decorative layers.
©2010 International Journal of Computer Applications (0975 – 8887) Volume 1 – No. 2 62 An Improved Particle Swarm Optimization for Induction Motor Parameter Determination
ON MULTI-PARAMETER OPTIMIZATION 3.1. Improved Adaptive Particle Swarm Optimization Algorithm Particle swarm optimization (PSO) is the stochastic op-timization algorithm based on bionic swarm intelligence which was proposed by Kennedy and Eberhart in 1995. The solution space of the problem is analogous to a flock of birds ...
Optimization of multi-pass turning parameters through an improved flower pollination algorithm Shuhui Xu1,2 & Yong Wang 1,2 & Fengyue Huang1,2 ... Selecting proper values for machining parameters, or pa-rameter optimization, is a primary task which should be con-
The current Proportion Integration Differentiation(PID) optimization design methods are often difficult to consider the system requirements for quickness,reliability and robustness.So an Improved Genetic Algorithm(IGA) is proposed.The new method of generating the initial population,adaptive change of crossover and mutation probability and effective selection strategy are used to optimize the ...
Optimization of the Electrodeposition Parameters to Improve the Stoichiometry of Films for Solar Applications Using the Taguchi Method Maqsood Ali Mughal, 1 M. Jason Newell, 1 Joshua Vangilder, 1 Shyam Thapa, 1 Kayla Wood, 2 Robert Engelken, 1,2 B. Ross Carroll, 3 and J. Bruce Johnson 3
Polynomial regression analysis was used to fit the properties relationship with soaking time and temperatures and the classical optimization technique was used to determine the minimum soaking time and temperature required for improved properties of the steel.
for optimization adapted along with ANOVA and design of experiments methodology. The main aim was to find various combinations of input parameters used .
A multi-objective optimization model for cutting parameters was proposed, in which minimal machining time and minimal elapsed tool life were considered. An improved NSGA-II was also designed in order to efficiently deal with multiple constraints, in which the non-dominance concept was extended to …
Parameters identification of photovoltaic (PV) models based on measured current-voltage characteristic curves is significant for the simulation, evaluation, and control of PV systems. To accurately and reliably identify the parameters of different PV models, an improved JAYA (IJAYA) optimization algorithm is proposed in the paper.
Optimization of FSW Parameters to Improve the Mechanical Properties of AA2024-T351 Similar Joints Using Taguchi Method . ... parameters, one is the tool rotation speed and the other is the ... Optimization of FSW Parameters to Improve the Mechanical Properties of AA2024-T351 Similar Joints Using Taguchi Method .
The parameter estimation of the biological models can be formulated as follows. Suppose a model contains a biochemical compound, s, that is formed as, which consists of a set of parameters,, where D is the total number of parameters, and the input signal, …
Optimization of Process Parameters for Improved Production of Bioactive Metabolite by a Novel Endophytic Fungus Fusarium Sp. DF2 Isolated From Taxus Wallichiana of North East India - Download as PDF File (.pdf), Text File (.txt) or read online.
Dec 09, 2014· This can reduce network traffic, because your client will send to server only stored procedure name (perhaps with some parameters) instead of large heavy-duty queries text. Stored procedures can be used to enhance security and conceal underlying data objects also.
The parameters we have considered for investigation are tool rotation speed, traverse speed and tool tilt angle. The selected process parameters and the levels are shown in the table 2. Table 2.