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In order to improve the reliability and viability, advanced aircraft is equipped with abundant multiple control surfaces. Control allocation is utilized to assign the virtual control torque to these redundant control surfaces. Due to physical and aerodynamic factors, there are some constraints impacting on each control surface, which makes the control allocation problem become more complex. In this...
Agent-based stochastic simulation is an established approach to study infectious diseases. Its advantage is the flexibility to incorporate important concepts. The effect of various mitigation strategies has been demonstrated using simulation models. Most of the previous studies compared a few options with a few selected scenarios. We propose to use genetic algorithms to search for the best vaccination...
The inherent flexibility of hierarchical structure scheme with main-servo loop control structure is proposed to the problem of integrated chassis control system for the vehicle. It includes both main loop, which calculates and allocates the aim force using the optimal robust control algorithm and servo loop control systems, which track and achieve the target force using the onboard independent brake...
In order to improve productivity and solve the Potential shortage of skilled workers in polishing manufacturing, a new type multi-station rotary polishing robot was proposed. The robot structure was discussed in some detail, the kinematics and inverse kinematics of this robot was analyzed By D-H parameter method. The maximum and minimum value in X, Y and Z direction of this robot work space was calculated...
The stability of blast furnace gas (BFG) system is of great importance in steel manufacturing process. This paper proposes a multi-objective hierarchical genetic method for building a fuzzy system to measure the pressure of BFG network in complex industrial environments. In order to improve the accuracy of the model, the fuzzy system is divided into four layers with the optimization target of mean...
The regionalization problem involves aggregating several spatially contiguous basic geographical units into regions while optimizing a defined objective. Equity is one of its most important constraints with the aim to ensure the value of one or several interesting spatial attributes at a certain level and to provide solutions to specific requirements in applications. This paper tackles a new regionalization...
This paper presents a comparative study of conventional spectrum estimation methods, such as the periodogram method, and modern techniques, such as the autoregressive and multiple signal classification methods, for current mapping by a high frequency surface wave radar. To calculate the radial current velocity, it is important to estimate its associated Doppler shift from the frequency spectrum. In...
With respect to variable selection for linear regression models, this paper proposes a novel boosting learning method based on genetic algorithm. Its main idea is as follows: each training example is first assigned to a weight and genetic algorithm is adopted as the base learning algorithm of boosting. Then, the training set associated with a weight distribution is taken as the input of genetic algorithm...
Byproduct gas is an important secondary energy in steel plant, and the reasonable use of byproduct gas has a great significance. For the byproduct gas real-time scheduling problem in a steel plant in China, a hybrid genetic algorithm based scheduling method is proposed in this study. First, this method takes into account the differences of the scheduling units of gas consumption and the nonlinear...
Making the science assessment and prediction of the credit risk of the small and medium-sized enterprises (SME) is a significant part of risk management of commercial bank. This paper firstly integrates Genetic Algorithm (GA) with v-SVR model, creates the credit prediction model, GA-v-SVR, and then builds the SME credit risk indicator system. Using principal component analysis method screens out the...
In this paper, a novel unsupervised change detection approach based on cross-correlation coefficient is proposed. The cross-correlation coefficient is a measure of the similarity between two variables. The change detection problem can be understood as the process to partition two input images into two distinct regions, namely “changed” and “unchanged”, according to the binary change detection mask...
Naval ship formation is one of the main counterwork forms in modern sea battles. Reliability theory is used to study naval ship formation deployment. First, a measure method for the cooperative quality of the shipborne equipments in the formation is given based on the concept of reliability degree. Then an optimized deployment of naval fleet is established with consideration of the cooperative quality...
The detection of change is one of the most important tasks in remote sensing analysis. In this paper, a novel unsupervised change detection approach by minimizing the mean square error (MSE) is proposed. The difference image computed by the absolute-valued log ratio of the intensity values of two input images is partitioned into two distinct regions according to the change mask. For each region, the...
The Support Vector Machine method has a good learning and generalization ability. Unfortunately, there are no comprehensive theories to guide the parameter selection of the SVM, which largely limits its application. In order to get the optimal parameters automatically, researchers have tried a variety of methods. Using genetic algorithms to optimize parameters of an SVM Classifier has become one of...
It has been proved that it's helpful to improve brain electrical activity mode through effective exercise training. According to Gardner's multiple intelligences theory, after a long period of professional training, college students of different specialties may also have intellectual independence and EEG specificity. In this study, the author chose motor imagery EEG of college students specialized...
A diagnosis method basing on neural network classifier, genetic algorithm (GA) and wavelet transform is proposed for a pulse width modulation voltage source inverter. It is used to detect and identify the transistor open-circuit fault. BP neural network (BPNN) is capable of recognition. However, it has shortcomings obviously. These are just advantages of GA, which has ability of global search. Thus...
Aimed at trajectory optimization problem for manned lunar landing mission, an overall mission optimization model was established, through which translunar trajectory, lunar parking orbit and transearth trajectory were designed optimally based on patched-conic technique. A hybrid approach combined genetic algorithm (GA) and sequential quadratic programming (SQP) was proposed to solve the optimization...
In order to improving the designing efficiency and achieving automation of airfoil optimization designing, A method which combined the airfoil parametric modeling software, the CFD software with Isight platform was presented, it was used to optimize the airfoil to ameliorate its aerodynamic performance. During the process of optimization designing, first, we adopted the design of experiment (DOE)...
This paper describes a GA approach for solving the SLAM problem. We treat the local scan from laser sensor as an image pattern. Two subsequent scans were matched to find the robot's ego motion. This motion is used as updates for robot's global position estimation in the map. A virtual scan is obtained from the map in the robot's current position. This virtual scan is then matched with the current...
This paper focuses on the comprehensive review of the literature on applications of rough set theory in Civil Engineering. The relationships between rough set theory and other mathematical methods, such as conventional statistical methods, fuzzy sets, and evidence theory, are briefly introduced. The applications of rough set theory in Civil Engineering are discussed in structure engineering, pavement...
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