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An efficient optimization strategy is proposed firstly, which draws together the global searching capability of chaos-based optimization technique and high searching efficiency of trust-region Newton method. Based on component mode synthesis method, the proposed hybrid optimization method is applied to update the finite element model of an arch bridge model using the dynamic measurement data, and...
Microgrids are defined as an area of network that is capable of operating autonomously from the rest of the electricity system. They achieve this by containing enough energy resources to meet all incorporated electrical (and thermal) loads, and by coordinating control in order to meet the participants' aims, and afford adequate quality/reliability of power and heat supply. From an economic point-of-view,...
In order to solve weighted clustering analysis problem of infinite hybrid attributes data streams in finite space, it presents a weighted clustering and evolution analysis framework. This framework is based on decision-tree classify of little sample using a semi-supervised strategy. In order to record some necessary information of cluster group, it gives a definition of cluster feature vector group...
This paper describes the basic concepts of the network migration problem, as well as its cost optimal solution with an ant colony algorithm. Generally there are many possible approaches to calculate network migration strategies. One of those is to consider the migration as a Shortest Path Problem, which can be solved using meta heuristics. In this paper it will be analyzed how ant colony optimization...
In order to use the dynamic reconfiguration possibility on FPGAs efficiently, one needs a support in the form of an operating system to manage both software and reconfigurable hardware. For this support, a suitable reconfigurable hardware model and optimization methods are required. This paper considers the problem of executing a dynamically changing set of tasks on a reconfigurable system, made upon...
For the reason of practical use in propeller design for low-dynamic aircrafts in Near Space, it is very important to have high-performance low-Reynolds-number airfoils which should have high lift-drag ratio, high endurance factor and high maximum-lift-coefficient, etc. Multi-objective optimal design can effectively solve the multiple design-points problem, which is an effective means and methods for...
Original manufacturer can recycling returned products by himself or outsource this work to a third-party. Different recycling pattern have unequal impact on original manufacturer's profit. Therefore, it is particular important for original manufacturer to determine whether he should cooperate with a third-party under fixed products' price and yield. And it's also important for original manufacturer...
Broken rotor bar (BRB) is one common fault of squirrel cage induction motors. When the BRB fault happens, the stator current of the induction motor contains a feature frequency component. The fault detection method based on the spectrum analysis of the stator current is commonly used. However, experiments show that the spectrum analysis of the stator current by directly using fast Fourier transform...
To achieve economic sustainability, automotive manufacturers must implement efficient design methods. One method is to use advanced optimisation and CAE techniques early in the development process. However, new processes must be feasible within the live design environment. In this paper, the requirements for the assessment of the feasibility of Multi-Attribute Optimisation processes are examined....
Manipulator for transplanting rice seedlings is key work parts of high-performance rice transplanter. The advantages and disadvantages of its structural parameters have direct impact on performance of transplanting rice seedlings. Mathematic model of the manipulator was established firstly, and optimization program with visual human-computer interaction was compiled based on the software of Visual...
Vehicle Routing Problems (VRP) are widely studied as they represent challenges for the future. However, most of the routing problems encountered in the literature are quite far from real life problems. Therefore, this work will be dedicated to the Heterogeneous Fixed Fleet Asymmetric Vehicle Routing Problem (HFF-AVRP), a variant of the VRP, which is more common in real life distribution management...
In this paper, we propose a new method for impulsive noise removal from images. It uses the sparsity of natural images when they are expanded by mean of a good learned dictionary. The zeros in sparse domain give us an idea to reconstruct the pixels that are corrupted by random-value impulse noises. This idea comes from this reality that noisy image in sparse domain of original image will not have...
Object/Relational Mapping (ORM), as an important approach to implement the data persistence layer provides various and flexible design models for constructing the efficient DBMS. Hibernate that based on ORM is well-suited to construct the data persistence layer of multilayer Web applications. Based on Hibernate, the paper presents a full solution of data persistence layer, including the creating,...
The following topics are dealt with: HLA; distributed virtual environments; optimization methods; systems simulations; network simulation; and load balancing.
Three sequential design of experiments (uniform, Latin hypercube and central composite designs) techniques are presented to deal with the optimization design problems of electromagnetic devices. These methods can be employed not only as the sampling techniques for the sequential optimization method, but also as a direct sampling optimization method. Thereafter, we use a TEAM Workshop problem to demonstrate...
In this paper, we propose a new technique for optimum parameter selection in non-quadratic radar image restoration. Although both the regularization hyper-parameter and the norm value are influential factors in the characteristics of the formed restoration, most existing optimization methods either require memory intensive computation or prior knowledge of the noise. Here, we present a contrast measure-based...
This paper focuses on wireless capsule endoscope magnetic field based localization by using a linear algorithm, an unconstrained optimization method and a constrained optimization method. Eight sensor populations are employed for performance evaluation. For each of five sensor populations, four different sensor configurations are investigated, which represent potential sensor placements in practice...
This paper proposes a new energy optimization methodology using the Potluck Problem concept for large and complex IT systems. The proposed methodology involves analyzing the historical time-series data about resource utilization in the IT system, and finding interesting temporal patterns therefrom. Based on the analysis, a system of predictors is constructed wherein each predictor provides an estimate...
Accurate, distributed localization algorithms are needed for large scale dense wireless sensor network applications. The Nelder-Mead Simplex Optimization Method (SOM) is applied to solve nondifferentiable problems and can often handle high discontinuity, particularly if it does not occur near the solution. This article proposes a distributed iterative multilateral algorithm. It formulates a function...
Many sensor network design problems are characterized by the need to optimize multiple objectives. However, existing techniques in sensor network design generally optimize only one objective while treating the others as constraints or convert the multi-objective optimization problem into a single objective optimization problem using weights associated with different objectives. The weighted sum approach...
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