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.
Fuzzy time-series (FTS) has been applied to handle non-linear problems, such as enrollment, weather and stock index forecasting. In the forecasting processes, fuzzy logical relation (FLR) plays a pivotal role in forecasting accuracy. Usually FTS uses an equal interval to obtain forecasting values. But in this paper, we use genetic algorithm (GA) to optimize the interval at first. Based on this, then...
Multi-population genetic algorithms have been used with success for several multi-objective optimization problems. In this paper, we present a new general multi-population genetic algorithm for evolving decision trees. It was designed to improve the possibility of evolving balanced decision trees, simultaneously optimized for the predictions of each class. Single-population genetic algorithms namely...
Financial time series forecasting is regarded as one of the most challenging applications of time series forecasting. Many researchers have been focusing on this topic due to the potential of yielding significant profits on the invested money in a short time frame. Believing in the predictability of stock markets, traders have been using Technical Analysis tools for a very long time to analyze and...
In this paper, we propose a functional test generation method for Register Transfer Level circuits. A popular metric for measuring the effectiveness of an RTL test suite is branch coverage. The challenge in exercising a hard-to-reach branch is in the understanding of the semantics of the design. Without a good guidance, hard branches might require unnecessarily long test sequences or missed altogether...
Consideration on the unmanned surface vehicle (USV) rapidity, maneuverability and anti overturning resistance, this paper creates a synthetical optimization mathematical model of the new USV navigation performance, structure of a complex algorithm, preparation of the related software. Complete a number of optimization calculations, discuss the effects of weight and different speed on the optimization...
The focus of present research paper is to manage data integrity and trustworthiness of issues involved in software testing phase of software development life cycle. Many times, it seems that, data integration left behind the software testing phase and it is directly focused at software deployment or delivery time. To avoid issues due to lack of data integration, we developed algorithm which can track...
An optimization mathematical model to minimize the costs associated with energy not supplied and investments on the allocation of sectionalizing switches and tie lines between branches and / or feeders in primary distribution systems is presented. This is a mixed integer nonlinear programming model, which considers the power flow constraints and continuity indexes. A set of trade-off solutions between...
This paper presents a methodology based on a genetic algorithm guided by a multiobjective index to evaluate the optimal siting and sizing of Distributed Generation in an electrical system. The objective function consists in improving the voltage profile, minimizing active power losses, emissions and reducing the investment costs. The proposed methodology was tested on a 34bus system showing satisfactory...
The coordination of the protection relays in electric power systems is one of the most important and expensive tasks because a bad operation by discoordination and the amount of data that needs to be process can impact the system. In this article, an optimal coordination of directional overcurrent relays of six-bar electric power system is realized; various case studies are analyzed in which the operation...
Clustering is a simple technique to make partition of given data set into number of clusters. This paper presents an quantum inspired algorithm using GA to automatically find the number of clusters for image data set. The advantage lies in this technique is that no previous information about the data set used for classification is required before hand. The method decides the optimum cluster number...
Based on the analysis of the deficiencies of the traditional performance assessment in the hospital, a kind of Comprehensive evaluation method was put forward about performance assessment combined with genetic algorithm and fuzzy decision. It was used in performance assessment of the clinical department in hospital. This method made improved genetic algorithm combined with fuzzy decision, to make...
This paper presents a two-stage approach for reconstruction of cross-cut shredded text documents. Cross-cut shredding is used to mechanically cut a document into rectangular shreds of (almost) identical shapes. After pre-processing shreds with image-based techniques, we defined a cluster quality measure called "matching proportion" (MP), with which, shreds in the same rows were found by...
CBIR is based on indexation of signatures that capture aspects of the image. In this paper, we propose a mechanism to weight the contribution of these signatures in the calculation of the final similarity between the query and the database images. This approach personalizes the search for each given query. To achieve this goal, we used a feature selection (FS) mechanism based on (meta)heuristics in...
This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list approach. In solving this UC problem, reliability constraint is also considered to increase the feasibility of the obtained solution. Reliability constraint used in this paper is loss of load probability index to evaluate the required spinning reserve. Meanwhile, the sub problem, economic...
A system framework of test base management and intelligent test paper composition is investigated. Using ADO technology, table of the test paper in SQL server database can be managed. A software system of test database management and test paper generation has been developed. Based on the genetic and adaptive algorithm, a novel method is proposed for test paper composition. By the new method, the evolution...
Often times in mobile robotics, optimizing a sequence of tasks and the paths between those destinations is an essential factor. In simple cases, this problem can be modeled by the well-researched Traveling Salesman Problem (TSP). In more complex situations however, the TSP is not a suitable model. In redundant robotic systems, a robot can assume infinitely many configurations while performing each...
As the complexity of networks increases significantly, cognitive networking becomes an essential tool to provide efficient management of the valuable resources. In this paper, a Genetic Algorithm (GA) based cognitive LTE downlink scheduler is proposed to allocate radio resources to the users. In the proposed scheme, a network administrator defines high level network policies by setting the operational...
Stack Overflow is a popular questions and answers (Q&A) website among software developers. It counts more than two millions of users who actively contribute by asking and answering thousands of questions daily. Identifying and reviewing low quality posts preserves the quality of site's contents and it is crucial to maintain a good user experience. In Stack Overflow the identification of poor...
The ability of a biometric system to reliably recognize registered individuals significantly depends on the kind and amount of variation that the exploited biometric trait may undergo throughout acquisitions. Those variations may be due both to acquisition devices, or to different environment settings, or to modification of the trait appearance. One of the strategies to address changes in biometric...
The bump hunting, proposed by Friedman and Fisher, has become important in many fields such as marketing and medical fields, and etc. Among them, to answer the unresolved question of molecular heterogeneity and of tumoral phenotype in cancer, the local sparse bump hunting algorithm, such as CART (Classification and Regression Trees) and PRIM (Patient Rule Induction Method), is useful. In the bump...
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.