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In this paper, we are interested in the Robust Wounded Transfer Problem (RWTP) in the background of large-scale emergencies such as typhoons, floods, earthquakes, droughts and so on. We introduce the theory of robust discrete optimization, and formulate the problem as a multi-point transportation model with multi-type vehicles, based on an absolute robustness criterion to minimize the maximum total...
This paper presents an approach to search robust optimal solutions with the concept of degree of robustness in multi-objective optimization problems. The definition of the degree of robustness is used in the calculation of the mean effective objective function(feff(X)) and in the evolutionary process, degree of robustness is considered as a factor to select robust solutions which can meet the demand...
The paper proposes a new fuzzy identification method based on H∞ error estimation for the issues of robust identification of fuzzy model. The H∞ state estimation is applied to the parameter identification of fuzzy model in the paper. The presented algorithm not only guarantees to satisfy a specified level of robustness, and also provides an optimized error upper bound. Finally, we study the fuzzy...
Sensor networks have a large diffusion in several areas, using different kind of sensors, different line for data transmission and different ways for their collection and management. In this paper we present a particular typology of sensor network, created for optimally manage the collection of exhausted oil stored in particular bins located in a wide area (about 20.000 km2). A sensor is located on...
During operation, due to changes of temperature, magnetic field, frequency and other factors, electrical and mechanical parameters of induction motor will change. It will affect controlled plant model accordingly bring badly control accuracy directly. In order to obtain better dynamic performance and steady state accuracy, this paper proposes a combination method of online identification and online...
A new method integrating reduced model and mixed design variables is proposed and applied in the lightweight design of a bus skeleton for the purpose of mass reduction without loss in structural performance. A whole skeleton model and a reduced model are built. All parts except chassis and floor assembly are reduced out using static reduction method. Reduced model is verified with finite element analysis...
Supply Chain Management (SCM) is now an important strategy for companies to gain competitiveness. However, the cost is still the key factor to face. This paper proposes a novel approach to create an optimal logistic plan in SCM with failures such that the required total capacity for logistics is minimum while the reliability retains the highest. Since the globalized economics changes very fast, the...
Saving energy in Wireless Sensor Networks is essential to extend the lifetime of in-field deployments. Previous research has shown that communication is generally the most energy consuming task and needs to be reduced in order to build resource-efficient long-term applications. The communication demand for retrieving query results from deep within the sensor network is typically high. As a result,...
In this paper a robust integrated design methodology for dynamic systems is formulated. The proposed methodology can be applied to design both the system and the control parameters, thus allowing for an optimization based integrated system and controller design under uncertainties or unknown parameters. This design methodology is used to simultaneously design the links of a five revolute two degree...
Classical relevance vector machine is sensitive to outliers during training and has weak robustness. In order to solve this problem, a novel robust relevance vector machine is presented in this paper. The key idea of the proposed method is to introduce individual noise variance coefficient for each training sample. In the process of model training, the noise variance coefficients of outliers gradually...
The replica placement problems (RPPs) in the Content Distribution Networks have been widely studied. In this paper, we propose an optimization model for the RPPs and design efficient algorithms to minimize the total cost of the network. The algorithms include three parts: replication algorithm preprocess, constraint p-median model and algorithm of solving constraint p-median models. In the simulation,...
The fax clustering is that the same or similar faxes will be clustered into one group in mass faxes. In order to improve accuracy of clustering, a fax clustering algorithm based on adaptive ant colony optimization was proposed in this paper. The algorithm simulates ant feeding theory, and improves the coefficient of pheromone updating, and avoids falling into local optimum. The experimental results...
In this paper, new approaches are proposed for characterizing robust decentralized controllers for discrete time large scale interconnected systems. In fact, it consists on a new stabilization condition, formulated as an LMI optimization problem parameterized by a scalar, offering an additional degree of freedom. This approach is also extended to treat the dynamic output feedback. Numerical examples...
As the key objects of interest, cylinders such as pipes or circular pillars abound especially in the point cloud of terrestrial laser scanner(TLS). Therefore, the efficient reconstruction of these circular primitives has been very important to point cloud processing. Based on the study of fitting methods for cylinders abundant in unorganized point cloud, a new method using region growing for cylinder...
Digital Electrical Hydraulic Servo System (DEH )of steam turbine has perfect performance, but it is difficult to format mathematical model accurately. Due to complexity of steam turbine and hydraulic servo system and the complex factors of applying field, The Robustness and precision of DEH will go bad with parameter's disturbance-changing temperature and changing steam pressure. By modifying the...
In this paper we address the problem of measurement matrix optimization in Compressed Sensing (CS) framework. Although the measurement matrix is generally selected randomly, some methods have been recently proposed to optimize it. It is shown that the optimized matrices can improve the quality of reconstruction and satisfy the required conditions for an efficient sampling. We propose a new optimization...
To minimize the total workload delayed in the terminal yard, an integrated model of yard space allocation and crane scheduling is proposed. To deal with the uncertainty in pick-up process of import containers, a robust optimization model is suggested to simultaneously determine the storage locations of import containers and the routes of yard crane movements. A Lagrange relaxation algorithm and a...
Robust scheduling is an effective way to solve job-shop scheduling problem (JSP) under a dynamic and stochastic environment with uncertainties, which may lead to numerous schedule disruptions. Maintaining the optimization obtained, the robust schedule is more stable in execution. The vast majority of the researches on robust scheduling concentrate on the development of the robustness and stabilization...
This paper applies Robust Optimization method to optimize the airline network planning process. The Dijkstra's Algorithm is firstly introduced to improve the initial solution and neighborhood structure. And the Robust Optimization method is applied to the problem of selecting the hub aerodromes in the airline network to help the decision making process. Furthermore, a hub-and-spoke network among 15...
For the complicated aerodynamics characteristic and severely uncertainty of nonlinear model of a hypersonic vehicle, a novel Model Predictive Controller design methodology based on Linear Parameter-Varying was developed. Firstly, the nonlinear model was transformed into Linear Parameter- Varying form by Jacobian linearization of nonlinear plant about a family of equilibrium points. And then the ploytopic...
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