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.
According to the premature convergence and low searching efficiency of the standard simulated annealing algorithm in workshop planning applications, this paper proposes a factory planning model of aircraft engine transmission parts based on improved genetic algorithm optimized simulated annealing. First, the mechanism floating-point coding is referenced to arithmetic crossover operation for crossover...
This paper is aiming at the application of Virtual realization technology, based on the theory of particle system, introducing the basic principle of the particle system and the whole process of the motion about the particles of water in the Waterfall, and the process is accompanied by dying and producing continuously with movement of particles. In this paper, we also introduce some techniques such...
This paper considered the joint replenishment and delivery problem under uncertainty. Expect value model of the problem is developed to minimize the total cost, including central warehouse inventory holding cost, ordering cost, delivery cost and customer waiting cost. We simulated the random demand rate using Monte Carlo sampling and proposed a heuristic algorithm to solve the mathematical model of...
In this paper, a T-LET planes measure is applied to manage the task scheduling for multiprocessors. First, a novel scheduling algorithm on T-LET planes is proposed, and it is based on the strategy that the biggest M tasks, within the current remaining execution time, are first selected. Secondly, the algorithm has proved as an optimal multiprocessor scheduling algorithm for assigning tasks and currently...
This article takes the multi-weapon formation coordination attack ground target as the background. We have established the mathematical model of the ground maneuvering target with the constraint space factor. We design an anytime algorithm for solving this kind of optimization problem based on the idea of distributed cooperative auction algorithm and give the method to optimize the auction algorithm...
The rapid development of the Internet and e-commerce has accumulated numerous data about products, services and customers, which contains meaningful information that recommender system can utilize to realize a more accurate recommendation. In daily life, it is nature for users to seek suggestion from a friend and the more professional and intimated the friend is, the more impact the suggestion has...
Coherent identification is a key step in dynamic equivalence based on coherency for reduction large power systems. An algorithm named modified PSO-FCM (MPSO-FCM), which the fuzzy c-means clustering (FCM) bases on modified particle swarm optimization (MPSO), is presented to solve the problem of identifying coherent generators. For the purpose to improve convergence performance, convergence factor and...
Heterogeneous networks have become an important model to represent complex network. However, many existing community detection methods for dynamic network are hardly applied in heterogeneous networks. In this paper, we present a multi-view learning based algorithm for dynamic heterogeneous networks, which treats network individually, combines heterogeneous information and improves the quality. Compared...
Aiming the problem that it is difficult for the stationary spectrum allocation method of existing HF access network to meet the requirement of intelligent frequency hopping technology, the communication requirement of intelligent frequency hopping HF access network is analyzed in this paper, to come up with the dynamic frequency spectrum allocation strategy and algorithm of maximum handling capacity...
In order to solve the problems of test message being rejected by the network server running the network protocol, a novel method is proposed by introducing the genetic algorithm into the test message generation process. Firstly, under the calculation of distance matrix, alignment of protocol sequence and identification of packet format are accomplished. Secondly, the genetic algorithm is introduced,...
The performance of multi-hop wireless networks can be improved through using multi-interface and multi-channel (MIMC). In this paper, a generic model of MIMC (abbreviated as GMM) for multi-hop wireless networks is proposed for NS2. The architecture of GMM consists of an MIMC control sublayer, separated interfaces, and dynamic channels. The MIMC control sublayer manages all interfaces and channels,...
Dynamic contrast enhanced magnetic imaging (DCE-MRI) is one of the most valuable methods for detecting breast lesions. The time intensity curve (TIC) acquired from a series of dynamic images is critical for distinguishing benign lesions and cancer. However, the TIC is often distorted by the original intensity of fine scale-details and the boundary of the normal tissue. In this paper, the constraint...
In this work, a low memory and non-parametric based background subtraction algorithm (LMBS) is proposed by modeling the background model with a set of pixels. Instead of keeping a N-sized memory for each pixel model, a k-sized sample buffer is assigned to each pixel, and the background is modeled by 3×3×k neighborhood pixel values, which means the background model also contains space information....
Based on the idea of using the finite Gaussian mixture model to approach a complex probability distribution, a spectrum estimation algorithm using Gaussian mixture particle filter is proposed in this paper for non-stationary signals. In order to balance the accuracy and the dynamic performance, a revised time-varying autoregressive model is presented combining with Gaussian mixture particle filter,...
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.