The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
High carbon content in fly ash seriously affects boiler's economical operation. Due to supercritical boiler's high thermal capacity, the inertia of thermal parameter reflecting combustion is bigger. It is especially important to well control carbon content in fly ash during operation. In this article, based on the analyzing influence factors to the carbon content in Fly Ash, the Least Square Support...
In view of shortcomings such as premature convergence and oscillation in Simple Genetic Algorithms (SGA), the article adopts method of adaptive adjusting for the probabilities of crossover and mutation. So the Improved Genetic Algorithms (IGA) is formed by adding the transgenic operator to SGA. And the optimum design program of steel box-concrete composite arch bridges based on improved genetic algorithms...
Wireless Mesh Network technology refers to technology that establishes a wireless network whose transmission speed is similar to that of a wired system. It provides enhanced flexibility in the building of the network, compared to the existing wired network. In addition, it has lower mobility and less restriction from the energy effect. However, there are many considerations, such as system overhead,...
Through the application of genetic algorithms (genetic algorithm, simplified as GA) and BP(Back Propation) neural network, I built a prediction model of roses diseases, in which I choose six indicators as the input of network, they are the minimum temperature, maximum temperature, average temperature, minimum humidity, maximum humidity, average humidity in the greenhouse, then I choose three diseases...
With the rapid development of logistics transportation, the number of high-level orderpickers in the warehouse is increasing day by day. In order to improve order picking efficiency, a mathematical model of this optimization problem is constructed according to characteristics of order picking of the high level orderpicker in a rectangular warehouse. To solve the model, G-A (Genetic-Ant colony) algorithm...
The minimization of power losses in the medium voltage (MV) grid requires adjustment of network of power sources. This problem is particularly important for renewable energy sources, for example for the farms of wind generators. Their placement and nominal power should be selected according to the configuration of the network and the largest loads. The implementation of the genetic algorithm (GA)...
The paper presents investigations of a genetic algorithm for computations of power losses in the MV power grid. In this case, the vector of start population PO0 and mutation likelihood was investigated. Diagrams of power losses in the grid dependent on the value of the mutation operator as well as the vector size of start population p are presented. The construction of the parallel genetic algorithm...
This paper has proposed an application of 2D principal component analysis (2DPCA) and genetic algorithm (GA) for vehicle detection from CCTV captured image. The system deploys a 2DPCA algorithm for feature extraction of vehicle within gray scale images. These vehicle feature matrices of size 50×20 are trained and then classified by using genetic algorithm. This system can detect different vehicle...
Cluster expansion provides a powerful tool in materials modeling. It has enabled an efficient prediction of the atomic properties of materials with the combination of the modern quantum calculation theory. To construct an accurate cluster expansion model, a few important cluster figures should be identified. This paper proposes a novel figure selection method based on memetic algorithm (MA), which...
This paper discusses a model predictive control approach to hybrid systems with continuous and discrete inputs. The algorithm, which takes into account a model of a hybrid system, described as Hybrid Automaton. However, to avoid computational complexity and computation time, the nonlinear optimization problem is solved by evolutionary algorithms (EA) such as Genetic Algorithms (GA) and Particle Swarm...
With the increase of gray scale and Flat Panel Display (FPD) size, Subspace Bitwise Scanning strategy with high scanning efficiency can replace traditional scanning method to enhance frame frequency. However, as gray scale increasing, the Direct Searching Strategy(DSS) becomes unfeasible to obtain corresponding scanning matrix of the optimization strategy. Therefore, genetic algorithm introduced accelerates...
The optimization problem that the optimum is time-changing by following a motion law in the search space is a dynamic optimization problem. This paper introduces the optimum's motion information to the proposed algorithms. Particle Filter is used to predict and track the changing optima. In real solution space, GA's chromosome is the same as Particle Filter's particle, both of which can be regarded...
Brushless DC (BLDC) motors are widely used for many industrial applications because of their high efficiency, high torque and low volume. The aim of this research is to develop a complete model of the BLDC motor and to design an optimal controller for its position control. Generally PID controller is used for many control problems because of its simple structure and easy implementation. However in...
This paper describes an evolutionary algorithm approach for the optimization of a fuzzy reactive controller applied to a mobile robot. The algorithm will optimize the Fuzzy Inference System evaluating the performance of each individual with a Neuro-Fuzzy fitness function that considers the robots covered distance, time used, battery life and the pattern of the trajectory.
Offline tuning of a genetic algorithm (GA) based time domain optimal PID controller has been carried out with stochastic consideration of delays and packet dropouts in a real time Networked Control Systems (NCS) by minimizing the Integral of Time multiplied Absolute Error (ITAE) and Integral of Squared Control Signal (ISCS). Hardware validation of the optimal PID controller performance is done on...
This paper proposes the unit commitment problems which can be solved by the improved Genetic Algorithm (GA). In this improved GA, the variables of the unit commitment problems are charged into the Genetic operators by binary coding. The best individual reserve is to be proposed and can be used in the genetic operating. This paper utilizes C++ language compilation to compare the two different 6-unit...
The hanger is a critical part of arch bridges which decides the security of the bridge. The tension of hanger is the major parameter to evaluate the structural behavior during the health monitoring. Besides, the damper which used for reducing the vibration significantly affects the tension of hanger. The flexural rigidity and damping stiffness should be considered in order to get accurate tension...
Genetic algorithm (GA) is applied to select main affecting factors of coal and gas outburst to solve the over-fitting problem of BP neural network (NN) in predicting coal and gas outburst, and a modified BP NN predictor is established, which input variables are the factors selected. In our GA, chromosome is a binary encoding which each gene corresponds to a variable, penalty function is introduced...
Wind turbine power output is totally intermittent in the nature. For grid connected wind turbine generators, power system operators (transmission system operators) need reliable and robust wind power forecasting system. Rapid changes in the wind generation relative to the load require proper energy management system to maintain the power system stability and of course to balance the power generation,...
Node placement problems have been long investigated in the optimization field due to numerous applications in facility location, logistics, services, etc. Such problems are attracting again the attention of researchers now from the networking domain, and more especially from Wireless Mesh Networks (WMNs) field. Indeed, the placement of mesh routers nodes appears to be crucial for the performance and...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.