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In the whole working cycle of cognitive radio (CR), the primary job is to sense wireless communication environment of secondary users (SUs), therefore, spectrum sensing is the foundation and prerequisite for the application of CR. In order to get excellent detection performance, cooperative spectrum sensing has been applied widely. However, in cooperative spectrum sensing process, the detection results...
This paper provides an overview on the Artificial Fish Swarm Algorithm (AFSA) for the automated design and optimization of fuzzy logic controller. A new optimization method for fuzzy logic controller design is proposed. The membership functions of input and output variables are defined by six parameters, which are adjusted to maximize the performance of the controller by using AFSA. This method can...
In this paper, we discuss the opportunities for global optimization of networks, which takes the user perspective into account. We state three fundamental problems in this approach, which are the variable (and usually also large) number of objectives, the arrow impossibility theorem, and the unavoidance of the fact that the feasible space may contain solutions, where some objectives are extreme. To...
This paper presents an improved bacterial colony chemotaxis (IBCC) algorithm based on BCC. In this paper, the optimization of n-dimensional problem is simplified as the optimization of n-1 sub-problems of 2-dimension by presenting the new formulation. As for the searching characteristic of a cell and colony, self-adaptive adjustment error parameter strategy is introduced. The strategy automatically...
Information system based on intelligent optimization algorithm is provided in this paper to solve the vehicle routing optimization problem with time constraint. And a hybrid optimization algorithm-PBIL combined with Ant algorithm is proposed and applied to VRP. The objective function is to minimize the cost and reduce the loss caused by customerspsila time restriction. The probability matrix of PBIL...
This paper proposes a new plant/controller design integration framework that seeks the best pair of the plant and the controller for the best possible closed-loop performance in Hscr2 control. The framework is further equipped with a symbolic-numeric hybrid optimization approach to effectively achieve the optimum. In the suggested approach, a recent algebraic tool called the Sum of Roots is firstly...
It is a difficult task to create a realistic human animation because of the high complexity of human motion. To address this problem, a new method is presented for producing physically valid motion with example motions. The core of our method is physics-based space-time optimization (PBSO). PBSO introduces physical constraints into conventional space-time optimization and then ensure the physical...
Registration of diffusion tensor images has attracted more and more attention in recent years. In this paper a novel affine registration algorithm for diffusion tensor (DT) MR images that enables explicit analytic optimization of tensor reorientation is presented. The objective function captures both the image similarity and tensor reorientation, which is necessary for warping DT images. The final...
A new method is proposed to solve the model inversion problem that is part of model based iterative learning control (ILC) for nonlinear systems. The model inversion problem consists of finding the input signal corresponding to a given output signal. This problem is formulated as a nonlinear dynamic optimization problem in time domain and solved efficiently using a constrained Gauss-Newton algorithm...
This paper shows how real-time optimisation for actuator coordination, known as control allocation, can be a viable choice for heavy vehicle motion control systems. For this purpose, a basic stability control system implementing the method is presented. The real-time performance of two different control allocation solvers is evaluated and the use of dynamic weighting is analysed. Results show that...
Integration of regulating power markets of different balancing regions has a potential to reduce the costs of balancing within multinational power markets by exchange of regulating power between these regions. Currently, most regulating power markets are operating on a national level so that exchange of regulating power between regions is minimal. This paper investigates the potentials for reduction...
The design principles of clinical PET data acquisition protocols require images of high statistical quality, while the scanning time remains relatively short and the total amount of radioactive dose does not exceed a level, above which significant count losses are observed. This can be satisfied by determining a range of injected dose levels where the performance parameter of noise equivalent count...
It is necessary to employ the Multidisciplinary Design Optimization (MDO) method in the design process of automatic weapon, because the process in itself is related to many disciplines and their couplings. The knowledge structure of MDO is analyzed, which includes mathematic modeling, system decomposition, optimization framework, approximation model, sensitivity analysis, optimization method, software...
Aeroelastic stability of wind turbine blade sections has been studied in detail by means of eigenvalue analysis of flap and lead-lag directions based on the extended ONERA model. The paper described different influencing factors of aeroelastic stability and established proper parameter ranges. The analysis results are reaffirmed by another approach of optimization method and system response. The point...
A complex optimal regulation control system with three-layer structure is developed for cascade hydropower stations, including from top to bottom optimal regulation control layer, automatic water regime measuring and generation supervisor layer, economical dispatching control and automatic generation control layer. After three optimal rules of maximum generation, maximum energy reservation, and minimum...
In order to examine the relationship between an original shareholder and a possible investor in the enterprises financing, two game theoretic models are used in this paper. Theories and methods of optimization are introduced to analyze the models. The results show that either the original shareholder's shares percentage or the possible investor's investment has a reasonable upper bound, an enterprise...
Iterative decoding was not originally introduced as the solution to an optimization problem rendering the analysis of its convergence very difficult. In this paper, we investigate the link between iterative decoding and classical optimization techniques. We first show that iterative decoding can be rephrased as two embedded minimization processes involving the Fermi-Dirac distance. Based on this new...
This paper deals with the problem of blind source separation of convolutive MIMO mixtures by a deflation procedure. Contrast functions showing a quadratic dependence with respect to the searched parameters have recently been proposed. Combined with a fast SVD-based optimization technique, they proved to be very efficient for the extraction of one source signal. In this contribution, we examine how...
This paper develops near-optimal designs of wireless networks in the presence of fading. The novel approach optimizes jointly application level rates, routes, link capacities, power consumption and physical layer parameters. The physical layer is interference limited with terminals distributing their power budget among frequency tones, neighboring nodes and fading states. The present contribution...
In this paper, we present a new optimization method for MMIE-based discriminative training of HMMs in speech recognition. In our method, the MMIE training of Gaussian mixture HMMs is formulated as a so-called trust region problem, where a quadratic objective function is minimized under a spherical constraint, so that an efficient global optimization method for the trust region problem can be used...
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