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Fuzzy net is of advantages that every node and parameter has distinct physical meanings and can describe the proposition and subjection of Petri net. Neural net has the ability of learning and self-adaptation, so it can be possible that the proposition of input place converges to output transition. Petri net which has the structure of fuzzy net and neural net can describe output transition as the...
In order to promote knowledge sharing and knowledge reuse of scientific research achievements, this paper proposes a knowledge network model which acts as a direct access to the knowledge existed in the achievements. As knowledge network can be treated with a kind of complex networks, this paper then optimizes the primitive knowledge network model by analyzing its network characteristics. Figures...
In this paper, we present an investment supernetwork model with risk management. The optimality condition for the investor who try to optimize their objective function and are faced with multiple criteria such as maximize profit and minimum risk, minimum time and so on, and weight them according to their preferences is established and derives the finite-dimensional variational inequality formulation...
Logistics finance of supply chain system has the openness feature with nonlinear and complexity. The financing effect of supply chain system's logistics/commercial banks can enhance its effectiveness and gain the appreciation of capital flow and the maximization of system's financing amount. The logistics financing amount of supply chain system is the nonlinear integration of each fractal unit's financing...
After analysis of the data from Dalian bus IC card database, the paper propose an optimization algorithm for bus scheduling. By introducing an artificial immune algorithm based on information entropy, the optimal or the quasi-optimal solution to this multi-variable and non-linear problem of bus scheduling can be found efficiently. The experiment results demonstrate that the optimal bus departure intervals...
Grid resource scheduling is one of the popular issues in grid computing research field. Ant colony algorithm (ACA) is an effective method to solve NP (non-deterministic polynomial) problems. By studying the process of resource scheduling in grid environment and ant colony algorithm for classic TSP problem, a strategy of resource scheduling based on ACA in grid environment was proposed. Then, the new...
A design flow of special customization is put forward with a view to meeting customers' specific needs as well as reducing difficulties in subsequent design and manufacturing. As the basis of this design flow, a similarity evaluation method is put forward which includes the following steps: (a) establishing customization product families; (b) constructing product conceptional function matrix; (c)...
Low-rent houses need good property service like commodity houses based on the social security of houses and the attribute of property management. The paper designs a static matrix game model between the government and the property service enterprises, and it puts forward the government must adopt the effective strategy to attract the enterprises voluntarily entering into the low-rent housing property...
This paper purposed an efficient algorithm analyzing sequence of multiple assembly schedules (MAS) for mechanical product based on colony-deciding method, aimed at the choosing of assembly schedules in a certain time and multiple schedules. We apply the colony-deciding method to analyze the multi- objects as assembly fixture, assembly cost, assembly process and so on to form the scheduling scheme...
Air Cargo Revenue Management has already become a powerful tool for air cargo industry, but there were little research on cargo revenue management in the world. A two-dimensional (weight and volume) cargo overbooking model was developed with profit maximization as the objective. And the result of the model indicated that the optimal overbooking level is related to show-up rate greatly rather than...
Introducing the efficient technology of flow distribution into ad hoc networks can balance the traffic load and improve the performance of networks. Most flow distribution algorithms only focus on the optimization of network routing and the control of congestion, while ignore the condition that low layer's communication links will also affect network traffic flow. In this paper, we propose a new flow...
In this paper, we study the newsvendor model with profit re-distribution. It is different from classical model that sale process is distinguished normal sale and promotion stages. Vendor can select to sales promotion for increasing their return when real demand is lacking. We get two mathematical expressions of traditional optimization order quantity q* and new optimization market size N*. At the...
This paper proposes a new supernetwork model of a three-tier supply chain which consists of manufacturers, retailers, and ultimate consumers. In this model, the manufacturers who produce a homogeneous product can sell product not only to retailers but also directly to consumers by Internet, and only the retailers can return the unmarketable products to the manufacturers. The model gets equilibrium...
This paper proposed an improved ant algorithm with feedback function extension and dynamic pheromone design (dynamicAnt) for the network traffic management issue. The scheme first mapped the network traffic path delay and bandwidth metrics into the parameters of the basic ant algorithm. And then extended the network feedback function to the basic ant algorithm by simulated it as the food smell. By...
For a successful company, which is facing fiercely competitive environment with limited customer resource, achieving efficiently customer segmentation so as to apply high quality recommendation strategies is a key task. Ant colony clustering based on customer value is a novel method for efficiently approaching customer segmentation. Additionally, experience shows that customer behavior patterns will...
A portfolio optimization with downside risk based on benchmark is investigated. The expected relative terminal wealth is maximized under a new risk constraint, RVaR, which is defined by a relative wealth process. In a Black-Scholes setting, stochastic analysis method and nonlinear programming theory are used to obtain explicit solutions of the optimal strategies, which include the riskless asset,...
The aim of outlier detection was to find out abnormal data patterns concealed in abundant data sets which were sparse and isolate. Mine disaster occurred much more frequently in our country, so it was urgent to take out an effective method to prevent mine disaster and guarantee miner's life and property of the company. In this paper, we presented a new method-AHHDOD, it could not only find out the...
In the analysis of client classification based on support vector machine (SVM), redundant variables in the samples spoil the performance of the SVM classifier, two SVM parameters, C and sigma , must be carefully predetermined in establishing an efficient SVM model. This paper used rough sets as a preprocessor of SVM to select a subset of input variables and employed the ant colony optimization algorithm...
Retail trade has always shown fluctuant characteristic such as customers demand, running expenses, etc. Retail sites locating is a critical aspect of its strategic planning and an improper locating stratagem would cause wasting resource and losing business opportunity. In the paper, we study the problem of retail sites locations of multistage so that retail firms can suit its environmental changing,...
With the expert encrypting standard Rijndael arithmetic acquiring the extensive support and application in every walk of life, the problems of the safety and quick implement of the Rijndael arithmetic seem to be particularly outstanding. This paper carried on an analytical research to the Rijndael arithmetic, which can carry out to crack to that arithmetic in validated time; through several transform...
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