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.
In the fault diagnosis based on support vector machine (SVM), SVM parameters are mostly selected artificially or obtained through experiment time after time, a certain and effective method has not been found. Aiming at this problem, a method optimizing the SVM parameters with Monkey-King genetic algorithm (MKSVM) is presented. In the built model the optimized parameters are used, and the superiority...
The optimal deployment for radar netting must treat of many factors that ristrict the capbility of radar network. Traditional decision-making model only considered the maximum detecting range of radar, the conditions used are simple. So, the optimal deployment schemes got by these models are not applicable to modern battle environment.Now, Electronic jamming, Anti-radiation missiles, Stealth targets...
An improved adaptive genetic algorithm for solving facility layout problem is proposed. The principle of the algorithm is: during running process, making the crossover and mutation possibility adjust adaptively along with the value of fitness in accordance with the laws of sigmoid function curve; using smaller crossover and mutation possibility for the individuals of better patterns while lager crossover...
Combining with genetic algorithm, the improved estimation of distribution algorithm (EDA) is provided. The crossover and mutation operations are added and the "elite" individuals are retained, which can keep the excellent evolution mode. The selection based on energy entropy is added, which can explore the solution space sufficiently and keep the population diversity. A neural network with...
Efficient application assignment algorithm is important for high performance and low power consumption in NoC architecture. In this paper, we apply novel algorithm based on GA (genetic algorithm) and maximal free matrix constraint, which aim at using confliction avoidance and minimization between router communications in order to provide less network contentions during several running applications...
As belt transmission can offer a maximum of versatility as power transmission elements and allow the designer considerable flexibility in selecting a location of driver and driven machinery, and can operate smoothly and silently, therefore it is very necessary to use advanced methods to design the belt transmission. Considering the random character of the design parameters and load-bearing capacity,...
In this paper we propose a hybrid of video games and classical outdoor games to address two issues: first the health related concern and second making the game as entertaining as video and computer games. Our proposed solution consists of tangible tiles with the capability of interacting with the user and each other. In addition to this the paper also contributes a genetic algorithm (GA) based approach...
In traditional simulation calculation of concrete filled steel tubular (CFST) arch bridge, to find out the initial state of the backward analysis is very difficult due to the force-bearing characteristics of CFST arch bridge. Genetic algorithm (GA), as a general-purposed global optimization algorithm, has the disadvantages of the premature phenomenon and poor performance in local optimization. In...
Take advantage of the feature that the energy of the image would gather and spread on four components in the subimage after first-order GHM multi-wavelet transform. Propose an information hiding algorithm based on modifying the direction of color mod vector structure (CMVS) of four GHM first-order sub-images (LL2, LH2, HL2 and HH2). The direction of CMVS represents the information. The maximum change...
In order to provide high quality of service (QoS), reasonable scheduling and resource allocation are needed when a great deal of tasks request grid resources. By quantifying some important properties of Grid QoS and maximizing cost-performance of the system, a grid resource selection optimization algorithm is provided based on simulated annealing genetic algorithm (SAGA) : QoS-aware SAGA, and the...
Nowadays, personal credit scoring models have played a vitally important part for many organizations in keeping away from credit risks. This paper establishes a personal credit scoring model via one of data mining approaches-genetic algorithm, which is a useful method applied to solve credit scoring problems. And the experiment of this model is proved to its high efficiency and evaluated its significant...
A new prediction method combined variable weight Gray Verhulst model and gray integrated relation grade was proposed in this paper to solve the problem of power transformer fault prediction. Because power transformer gases concentration sequence was S-shaped, Gray Verhulst model was chosen to forecast the gases concentrations. Variable weight Gray Verhulst model was proposed based on 2 improved Gray...
This paper presents a short-term load forecasting method based on wavelet neural network (WNN) and monkey-king genetic algorithm (MK). Parameters of WNN are mostly selected artificially or obtained through experiment time after time. A certain and effective method has not been found. Aiming at solving this problems, a method optimizing the WNN parameters with monkey-king genetic algorithm (MKWNN)...
Gene expression programming is presented here for two stage evolutionary modeling. It uses character linear chromosomes composed of genes which encode expression trees. This feature which is different from existing algorithms allows the algorithm to perform with high efficiency when dealing with the same problem. And then, the analysis of convergence of this algorithm is mentioned. Finally, a numeric...
In order to avoid the premature convergence and improve convergence rate, a novel adaptive genetic algorithm for reactive power optimization is discussed in detail. In reproduction operator, the method of retaining optimal individual is used to ensure the convergence and at the same time, the competition method is also adopted to keep the better dispersal of all individuals. In Mutation operator,...
A new algorithm by using geometric active contour model with the fusion of shape and texture priors to manual segment medical images has been presented in this paper. Then the prior knowledge is merged into active contour model with its contour evolution which is evolved using a genetic algorithm technique. The new method has some advantages over classical level set methods in case of images with...
This paper deals with a hybrid optimization method for solving the optimization problems with inequality constraints and equality constraints, in which an adaptive penalty strategy is firstly adopted to convert the optimization problem with both equality constraints and inequality constraints to one only with lower and upper bound constraint of decision variables, then an adaptive real-coded genetic...
Based on the optimization problem of the number and size in coal mine equipment the principle and procedure of genetic algorithm is introduced. The case of application proves that the genetic algorithm can better optimize the number and size of equipments in coal mine.
According to the open vehicle routing problem (OVRP), a vehicle is not required to return to the distribution depot after servicing the last customer on its route. In this paper, the open vehicle routing problem with time windows (OVRPTW) is considered, and a mixed integer programming mathematic model of OVRPTW was proposed in detail. Meantime, an improved genetic algorithm (IGA) was proposed to overcome...
A novel sensor layout method is proposed for bridge health monitoring. The aim of the method is to select sensor locations from a set of possible candidate positions for achieving the best identification of modal frequencies and mode shapes. Sensor layout problem is a combinatorial optimization problem and genetic algorithm is suitable to solve the problem. Commonly, one dimension coding is often...
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.