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.
Risk management in a Virtual Enterprise (VE) is an important issue due to its agility and diversity of its members and its distributed characteristics. In this paper, we develop a partners' risk level considered Constructional Distributed Decision Making (CDDM) model for risk management of the VE. The model has two levels, namely, the top model and the base model, which describe the decision processes...
A soft sensor was developed to estimate the concentrate grade and recovery rate of a flotation circuit. The algorithm uses kernel principal component analysis (KPCA) and composite kernel support vector regression (CK-SVR) to perform the estimation. Firstly, the flotation prior knowledge and KPCA are employed to reduce the dimension of input vector of CK-SVR. Then, considering that the characteristics...
The virtual enterprises face more risk than traditional enterprises as they are dynamic, temporary and with multi-partners. In order to control the risk to the acceptable level, the multi strategies multi choices (MSMC) risk programming model is proposed in this paper considering the fuzzy characteristics and project organization mode of virtual enterprises. In order to deal with the multi control...
Risk management in a virtual enterprise (VE) is an important issue due to its agility and diversity of its members and its distributed characteristics. In this paper, a stochastic programming model of risk management is proposed. More specifically, we consider about the stochastic characters of the risk in VE, and then we build a stochastic programming model to deal with the stochastic characters...
In this paper, the knowledge of the fuzzy mathematics, game theory and swarm intelligence computing method is introduced to design a flexible QoS multicast routing scheme. Based on BCC (bacteria colony chemotaxis), it searches for a QoS multicast tree with Pareto optimum under Nash equilibrium between the network provider utility and the user utility achieved or approached. Simulation results have...
The classical particle swarm optimization (PSO) is an effective method to find the extreme values of continuous functions, however its application in discrete space is still premature. In this text, four algorithms of PSO are proposed to solve the problem of combinatorial optimization. They are designed according to the different reactions between particle extremum and overall extremum and help to...
Taking the characteristics of multi-constrained QoS (quality of service) routing into account, an intelligent QoS multicast routing algorithm based on PSO (particle swarm optimization) and GA (genetic algorithm) is presented. In this paper, the corresponding model and its mathematical description are introduced. Under inaccurate information of QoS parameters, combining fast searching ability of PSO...
With the characteristics of multi-constrained QoS (quality of service) routing in NGI (next generation Internet) considered, a hybrid intelligent QoS multicast routing algorithm based on PSO (particle swarm optimization) and GA (genetic algorithm) is presented. It tries to find the best multicast routing tree with the maximum probability of meeting multiple QoS constraints under the given cost.
Virtual enterprise will be the main organization mode for enterprises in information society of twenty-one century. Focus on the fuzzy characteristics and project organization mode of virtual enterprises, the risk programming methods for virtual enterprise are studied in this paper. As we all known, the classical particle swarm optimization (PSO) is a powerful method for finding the optimum of a numerical...
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.