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Crossover is the most important step in genetic algorithm, which passes on good genes of the parents to the next generation. However, the crossover operator can't ensure the offspring finding the globally optimum because of its blind search. A weighted crossover operator is proposed to overcome the disadvantages. Weighted values are calculated according to the adaptive values of the parents. One offspring...
This paper explores the satellite shield attitude planning for low observable satellites equipped with signature suppression shields. The on-orbit satellite's operational effectiveness and survivability are coupled with its radar cross section (RCS) and laser cross section (LCS) in threat directions, which are determined by the shield's attitude. This paper presents a real-time satellite shield attitude...
In embedded system design, hardware/software (HW/SW) partitioning is the NP-complete problem which searches reasonable composition of hardware and software components which not only satisfies the constraint of hardware but also optimizes the execution time. Blocks derive from the functional specification internally represented as control/data flow graph. In this paper, the model of the embedded system...
For Unmanned Air Vehicles (UAV) to flight autonomously, the decision making system must be developed to replace the remote control by the pilot. To shorten the learning time and increase the real-time response, the inverse-design (ID) method is presented to calculate the control input decision inversely by using the desired output and the predictor-corrector algorithm which uses the proportional-integral...
Positional analysis needs to be made in the Go game, and it is true for professional players or Go program. The present Go program regards the territory scores as a major standard in its positional analysis, which is a flawed approach. In this article, an approach is proposed to calculate the winning probability, and the model parameter is further optimized by genetic algorithm. Through this approach,...
To the problem of cooperative ground moving target tracking using UAVs in an urban area, a novel method is presented, which based on target state fusion estimation and prediction, as well as on-line trajectory planning. Firstly, based on active sensing, a solving framework was presented, the formal representation and system model of cooperative target tracking using a team UAVs was established; secondly,...
BP neutral network is a method to fuse datas from several dissimilar sensors for more precise results, but its low convergence rate and easily falling into local minimum often decrease the fusion precision. In order to overcome this drawback, we combined BP neutral network with genetic algorithm, and optimized connection weights and threshold value of BP neutral network by genetic algorithm. Then...
The paper presents a novel adaptive neural-network based nonlinear model predictive control (NMPC) methodology for hybrid systems with mixed inputs. For this purpose an online self-organizing growing and pruning redial basis function (GAP-RBF) neural network is employed to identify the hybrid system using the unscented Kalman filter (UKF) learning algorithm. A receding horizon adaptive NMPC is then...
The mission requirements are analyzed and the optimization model of responsive satellite constellation design which can simultaneously optimize constellation structure and orbit parameters is built. As the number of variables involved in the model is large, classical genetic algorithms will have difficulty in obtaining satisfying results in acceptable time. The hierarchical genetic algorithm is designed...
A scheme of segmentation based on low-level and high-level cues is presented. Firstly, image-pyramid is obtained based on segmentation by Weighted Aggregation (SWA), the suitable coarse pixel image is selected to be as low-level segmentation cues. Kernel principal component analysis (KPCA) is used for building the space of shape to represent shape prior knowledge. The coarse pixel image is expressed...
Clustering classifies data into homogeneous groups such that the objects in each group are similar and the objects between groups are not similar. Cluster algorithms can be available in many literatures. And among them, spectral clustering (SC) is one of the most popular and appealing clustering methods because of its generality, efficiency and its rich theoretical foundation. But SC algorithms need...
This paper present the characteristics of a cantilevered piezoelectric composite wing model, idealized as a composite flat plate. Based on the Hamilton principle, the dynamic equation of the piezoelectric composite plane is deduced. The aerodynamic force acting on the surface of the composite plane is computed in frequency domain using the doublet lattices method, fitted and transformed to time domain...
The image segmentation based on Markov Random Field (MRF) tries to find the maximum a posterior (MAP) global optimal solution, which describes image data relations by local correlations. Comparing with the Simulated Annealing (SA) that is used in the canonical MRF, Genetic Algorithm (GA) has been applied into the optimization computation. Currently the weights of energy function and conditional probability...
Analysing vibration signal is an effective important method for diesel engine fault diagnosis, and its key techniques are feature extraction and pattern recognition. In this paper, wavelet packet decomposition algorithm as an effective method for fault feature extraction is used to decompose the vibration signals, and its percentage of energy band wavelet packet and wavelet packet energy spectrum...
Traditional Fuzzy c-means (FCM) algorithm is commonly used in unsupervised learning. However, there are some limitations. Cluster number should be determined and the cluster center should be initialized before classification. A new algorithm is proposed in the paper. The best cluster number is obtained by analyzing cluster validity function and the cluster center is initialized by HCM. The data set...
In the traffic system with flow guidance, travelers can choose their paths according to both guidance information and their experience. In this paper, based on the relationship between the effects of traffic guidance and the construction cost, the optimization plan is established as a bi-level program. The objective function at the upper level is defined as the total travel time on the network, plus...
As the key technique of path planning system, path planning method can directly influence the performance of path planning system. According to the characteristics of different unmanned aerial vehicle, the path planning method evaluation model based on Monte-Carlo was established, and the corresponding valuation indexes were presented. By simulation and analyzing of improved A* algorithm and Genetic...
In order to avoid the economic loss due to too much or too little of electricity consumption, electricity consumption needs to be predicted. In order to solve the drawbacks of BP neural network, genetic algorithm and RBF neural network (GA-RBFNN) is presented to forecast electricity consumption in the study, and genetic algorithm is introduced and tried in optimizing the parameters of RBF neural network...
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