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.
The Traveling Salesman Problem (TSP) is one of the most well-known NP-hard combinatorial optimization problems and Genetic Algorithm (GA) is an effective method for solving it. Nevertheless, the Classical Genetic Algorithm (CGA) has poor effect on larger-scale TSP. In order to solve this problem, in this paper, two novel improvement strategies were proposed and applied to the larger-scale instances...
The genetic algorithm (GA) uses techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover. Due to its ability to find approximate solutions of hard optimization, the GA is suited for applications in various domains. The GA-based composition system, which uses genetic algorithm to evolve music materials, has become a hot spot in the algorithmic composition...
Fourth party logistics (4PL) was widely accepted by many companies nowadays. As one of the most important aspects in 4PL, the fourth party logistics routing problems (4PLRP) is very difficult to solve. Many intelligent methods has been used to solve the 4PLRP. Genetic algorithm (GA) is one fo such intelligent methods. Based on previous research, GA can work efficiently on small-scale 4PLRP. However,...
In this paper, we propose a correlation method to assess image quality based on support vector machine (SVM) and genetic algorithm (GA). Instead of the simple linear function to correlate objective indicators with subjective scores of images, we introduce SVM for the correlation function, make GA as the search algorithm, and finally get the image quality assessment model. The results of experiments...
A method to determine the norm vacuum of duplex pressure condenser based on the support vector regression (SVR) model was proposed, The norm vacuum of condenser is usually obtained from the characteristic curve given by the manufactory. But the method is only fit for the condition that both of the flow of cooling water and exhaust steam of steam turbine are maintained at designed valves. In this paper,...
This paper first constructed a financial index system for credit assessment of listed companies, then analyzed the defects of BP neural network model and found out it is easy to fall into the defect of local optical solution. By introducing the revised connection weight value of genetic algorithms, constructed GA-BP neural network model, and selected 80 companies listed from 2004 to 2007 as training...
A new genetic algorithm(GA)—genetic polygon algorithm(GPA) is proposed. It is formed by the combination of the genetic algorithm and the polygon algorithm(PA). In the first place, initialize the population using the genetic algorithm. Then select the better individuals using the polygon algorithm. At last, the best individual is found using the genetic algorithm. For the first time, the weighted cost...
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.