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.
Diversity maintenance of solutions is a crucial part in multi-objective optimization. However, most of existing studies show a good distribution with a large computational load or a comparative bad distribution quickly. In this paper, a method for pruning a set of non-dominated solutions using a spanning tree is proposed. This approach defines a density estimation metric - spanning tree crowding distance...
This paper analyzes the convergence properties of the genetic algorithm based on space mating with mutation, crossover and proportional reproduction applied to static optimization on problems. It is proved by means of homogeneous finite Markov chain analysis that genetic algorithm based on space mating will converge to the global optimum. Each process is convergence to the global optimum, at least...
In this work we focus on iterative learning control (ILC) for iteratively varying reference trajectories which are described by a high-order internal model. The high-order internal model (HOIM) is formulated as a polynomial between two consecutive iterations. The classical ILC with iteratively invariant reference trajectories, on the other hand, is a special case of HOIM where the polynomial renders...
Web services are widely used because of their features of interoperability,loose-coupled and platform independent. Web services composition is one of the hottest topics in service computing area. In this paper a method based on Petri net coverability problem is proposed to handle automatic service composition. First each service is translated into component of Petri net and the input/output places...
Automated trust negotiation is an approach to establish trust in pervasive computing environment, where the involved participators belong to different security domains and need to establish trust before interactions can take place. However, during the trust negotiation, onepsilas private information can be easily exploited to infer through observing onepsilas behavior, even if access control policies...
An adaptive weighting divisia index method is applied to analyze the structure and efficiency quotient mix in affecting Chinese energy intensity through rearranging and reanalyzing the past 30 years' data. Based on the analysis, this paper concludes that the changes in China's energy intensity in the previous phase are mainly caused by efficiency factors, and by estimation it shall be affected by...
Granular Computing(GrC) is a new concept and novel approach to solve the complex problems and provide a method for massive data-mining in the field of artificial intelligence. This paper presents a novel method which combines the quotient space theory to the granular computing for analysis of the data warehouse and data mining .This method can manage city traffic information system effectively, so...
When the Kalman-Yakubovich matrix has a unique solution, in this note an explicit solution is proposed. This solution is expressed as a polynomial of the coefficient matrices of the matrix equation. Based on this result, the unique solution of the Stein equation is also established. The proposed approach does not require the coefficient matrices to be in arbitrary canonical form.
One of the fundamental problems in content-based image retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow the gap, relevance feedback (RF) is introduced into CBIR. However, most RF methods are challenged by small size sample collection and asymmetric sample distributions between the positive and the negative samples. In this paper, a Bayesian...
Based on two recent results, several new criteria of L2 - Linfin performance for continuous-time linear systems are established by introducing two slack matrices. When used in robust synthesis of systems with polytopic uncertainties, it can reduce conservatism inherent in the earlier quadratic method and the parameter-dependent Lyapunov function approach. Two numerical examples are included to illustrate...
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.