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A method to research the critical point and opinion leader in the evolution of public opinion is proposed. It is assumed that individuals have two attributes: the individual opinions and the persistence of them, which can be corrected by two additional factors: the level of trust and the range of experience between individuals. Using the above four properties of individuals, the interaction rules...
Maximum entropy method (MEM) is the traditional approach to estimate interbank exposure matrix, which is the key to assess contagion effect in banking system. Recently, a new transfer entropy method (TEM) is proposed to estimate interbank exposure matrix. This paper employs the two approaches to estimate interbank exposure matrix of Chinese banking system, and then simulate the contagion process given...
Preprocessing is generally used for data analysis in the real world datasets that are noisy, incomplete and inconsistent. In this paper, preprocessing is used to refine the inconsistency of the prototype and partition matrices before getting involved in the collaboration process. To date, almost all organizations are trying to establish some collaboration with others in order to enhance the performance...
This study proposes a fuzzy dynamic turning (FDT) strategy to adjust inertia weight of the enhanced particle swarm optimization incorporating a weighted particle (EPSOWP). In the proposed study, EPSOWP has two principal updating search behaviors which are switched alternately. One of the two behaviors includes the term w×v(t) where w is the inertia weight and v(t) is the velocity. The term w×v(t)...
In this paper, we consider the application of discrete simultaneous perturbation stochastic approximation (DSPSA) towards developing optimal public health strategies for containing the spread of influenza given limited societal resources. We use DSPSA to do the simulation based optimization to solve the optimal intervention method for H1N1 to achieve the minimal loss to the economy. The loss to the...
Agricultural supply chains management is increasing in recent years, among academics as well as practitioners. In this paper, we present a supply chain simulation study for a real case, with the agricultural manufacture and distribution systems of cooperative-centered in concern. We evaluated the key performance indicator of the whole supply chains by building and simulating 3 present models of agricultural...
Increasing demands of eco-friendly vehicles, various types of hybrid electric vehicle (HEV) have been researched and released. Recently, some research has interest in not only the efficiency of the vehicle but also the durability of battery because the life of battery has influence on the cost of maintenance, stability and performance of the vehicle. In this study, backward simulation based on dynamic...
The reasonable use of railway waiting compartment is very important for improving the efficiency of passengers transport organization. In this paper, a multi-objective optimization model for utilization of railway waiting compartment was established. The objectives are: passengers of a train can occupy the only waiting compartment at the same time, minimizing the distance of passengers and balancing...
In this study, a method for solution of the multi-objective optimization problems via the desirability function aided particle swarm optimization has been proposed. The desirability function has been applied for normalization of each objective and then aggregation to a single objective. The geometric mean of the desirability values regarding each objective has been calculated as a part of the method...
This paper describes a fast optimization algorithm for Model Predictive Control (MPC) with soft constraints. The method relies on the Kreisselmeier-Steinhauser function to provide a smooth approximation of the penalty function for a soft constraint. By introducing this approximation directly into the objective of an interior point optimization, there is no need for additional slack variables to capture...
Evolutionary Multi-objective Optimization (EMO) approaches have been amply applied to find a representative set of Pareto-optimal solutions in the past decades. Although there are advantages of getting the range of each objective and the shape of the entire Pareto front for an adequate decision-making, the task of choosing a preferred set of Pareto-optimal solutions is also important. In this paper,...
We consider the problem of optimal control for a kind of uncertain networked systems which are composed of some heteromorphic subsystems in this paper. For the trouble of encountering the complex structure, the unavoidable uncertainties and/or disturbances of networked systems, we try to remove or eliminate the interconnected parts, uncertainties and disturbances from the system by using the method...
In this paper, genetic algrorithm is introduced into the Closed-Loop Time-Delayed Filter system. Because of the global optimization characteristic of genetic algrorithm we can get the optimal solution quickly, and we can get a time-delayed filter which performance is more excellent. In order to make the system more quickly to reach a steady state, the fractional-order ΡΠ) is applied. The simulation...
A logistics system is very important for an e-commerce company because the logistics costs of such a company are higher than that of other retail business companies. The development of a more effective logistics system should include both the cost of ground rent and the cost of procurement logistics. This paper proposes such a logistics system and simulates the use of a real e-commerce company's data...
In this paper, we propose a novel adaptive fuzzy weight parameter PSO Algorithm (FPSO). In the improved algorithm, the inertia weight reserves its decreasing property after fuzzy treatment, and the position is controlled by fuzzy parameter. Simulations have been done to illustrate that the improved algorithm can regulate global search and local search, and has better search accuracy than the basic...
Simulation and optimization techniques have been increasingly used in decision-making process of terminal logistics systems management in recent years. By analyzing the current status and existing problems of logistics system in an iron and steel enterprise's raw material terminal, a discrete event simulation model is built based on optimized measures with Arena software. Finally, the feasibility...
The network reconfiguration optimal control in distribution networks is modeled as a multi-objective combinational optimization. Multiple objectives are considered for load balancing among the feeders, minimum deviation of the nodes voltage, minimize the power loss and branch current constraint violation. Based on the objectives evaluated by membership functions respectively. These objectives are...
A network traffic system can be tuned by three factors: (i) the topology of underlying infrastructure; (ii) the distribution of traffic resources; (iii) the routing strategy. In this paper, we propose a model to study the optimization of network capacity based on complex network theory. We study the optimization method of network traffic in several situations corresponding to the real cases. The model...
This paper presents a modified PSO algorithm for solving constrained multi-objective optimization problems. Based on the constraint dominance concept, the proposed approach defines two sets of selection rules for determining the cognitive and social components of the PSO algorithm. The simulation results to the four constrained multi-objective optimization problems demonstrate the proposed approach...
A major component of the "Bologna process" is shifting the focus from instructor-centered "teaching" to student-centered "active learning". This change, however, poses an additional burden on the instructor's resources. Besides, the simultaneous redesign of all degrees has allowed universities to exploit synergies. In the Carlos III University, this has led to the creation...
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