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.
Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization (CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm,...
Clustering is a semi-supervised or unsupervised algorithm for classifying a set of data according to underlying characteristics or similarity. There are many different algorithms for different applications. Each algorithm has its advantages to some special fields. As to the data obtained from an automotive LUX-LIDAR, the existing algorithms are failed to cluster them accurately or efficiently. It...
In this paper, we consider a smart grid incorporating numerous devices. In order to manage the energy distribution, we propose an algorithm that employs the group bargaining concept of game theory to efficiently allocate electricity resources among these devices. First, we divide the devices into non-overlapping groups, and allow devices to bargain both within and across groups. Second, we regard...
The resource-constrained multi-project scheduling (RCMPS) is a NP-hard problem and has been extensively used in manufacturing and engineering fields. In order to solve scheduling of RCMPS, a new algorithm was presented in this paper. The new algorithm combines the some advantages of ACOA and NN . Finally, the algorithm was tested on a case of the RCMPS and the results were presented in the paper....
With its unique advantages, the traditional collaborative filtering algorithm has been one of the original and most successful methods in product recommendation. However, the intensified sparsity of the matrix has caused a decreasing precision of particular recommendations, which the traditional CF algorithm is of little help. By making statistical analysis about users' selected items, this paper...
On real-time demand of neural network control system, the self-tuning PID control system's structure and algorithm based on generalized congruence neural network(GCNN) are presented, in which the improved generalized congruence neural network is adopted for identifier, and the generalized congruence neuron is used as controller. The simulation results of nonlinear dynamical control system show that...
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.