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.
Evolutionary Multi-objective optimization using Genetic Algorithms (GA) are proven more powerful and efficient methods for optimization of complex digital circuit problems. In this paper, Genetic programming (GP) has been used based on GA to automate the design of the Digital Combinational Circuit. It is desired to minimize the total number of gates used and number of generations for evolved circuit...
Evolutionary Algorithm (EA) methods are proved more effective for solving complex digital circuit design problems and evaluating the fitness of combinational circuits. They optimize circuits in terms of less number of gates and transistors. In the proposed method, we have calculated the best fitness of the circuit from the designed algorithm by adjusting the parameters of Genetic Algorithm (GA) like...
Intrusion detection is used to protect the system from inside and outside attacks. Evolutionary algorithm has an important role in intrusion detection. Evolutionary algorithms are highly responsive for feature space reduction. The minimal number of features can improve the performance of an intrusion detection system. Thus we propose an intrusion detection system with various feature selection methods...
Genetic Algorithms are heuristic approach for forming the bases of search based algorithms. It applies the mechanism of the natural selection of genes & the phenomena's associated with the genetics like mutation, crossover, and replication to provide solutions in some complex searches. In this paper, we have reviewed their applications in context of the Object oriented paradigm thus proving their...
To mine popular accessed Web pages items and find out their association rule from the Web server Log database for junior users providing recommendation service. A novel GEP-based algorithm for mining multiple-layers association rules was presented. Firstly, takes generalizing technology as a way to value fitness function in GEP (Gene Expression Programming). Then, relying on the significant self-search...
This paper presents an evolutionary approach toward performance evaluation of business process model. Performance is a pervasive quality of software system and since vast variables are involved and affected on it, the importance of performance evaluation is irrefutable. The proposed algorithm is based on Genetic algorithm technique. A business graph was assumed and by using genetic algorithm method,...
First order saddle points have important applications in different fields of science and engineering. Some of their interesting applications include estimation of chemical reaction rate, image segmentation, path-planning and robotics navigation. Finding such points using evolutionary algorithms is a field that remains yet to be well investigated. In this paper, we present an evolutionary algorithm...
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.