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On the basis of the mathematic model for the optimizing of distribution routing of farm produce, this article presents genetic algorithm (GA) to solving this problem. This method can find the optimal or nearly optimal solution to the vehicle routing effectively, which is proved by an experiment provided by this paper.
This paper proposes an interactive genetic algorithm (IGA) for soccer video events retrieval with multimodal features. Eight audio-visual features (average shot duration, standard deviation of shot duration, average motion activity, standard deviation of motion activity, average sound energy, standard deviation of sound energy, average speech rate and standard deviation of speech rate) were extracted...
This paper presents an optimization model to the application of signal coordination for urban network based on multi-group partition. The proposed algorithm divides a large signalized network into several subgroups with three or more intersections according to real traffic flow. In each subgroup, signal coordination between neighboring intersections is built by a common cycle and offsets. In order...
Premature convergence is a well known problem that occurs with Genetic Algorithm (GA). Inspired by ecological competitive which can decrease survival and reproduction as the similar individuals approaches the carrying capacity, a novel Competitive Genetic Algorithm (CGA) is proposed to avoid the premature convergence of GA. Using the mechanism of competitive, the number of individuals who have the...
The available remote sensing image fusion methods, such as that based on color space transform, on statistical (e.g. principle component analysis), on multi-scale analysis (e.g. pyramid decomposition, wavelet transform, etc.), basically set down the fusion rules before fusion process. The rules which determine the attributes of fusion results cannot be adjusted according to different application....
A new kind of 9/7 wavelet basis, the optimum biorthogonal wavelet basis, is establishedd according to the effect of image compression by adopting the SPIHT algorithm based on the idea of biorthogonal wavelet filter bank with the lattice structure in this paper. Lenna and the Goldhill were adopted as the standard training images; and the maximal peak signal-to-noise values were obtained with the compression...
In this paper, a genetic accelerated trust region algorithm without constraints presented, which can deviate saddle point, and quickly reach more excellent point by using probabilistic optimization approach. While trust region algorithm can only converge to partial optimum, the new algorithm can converge to global optimum with an example proved the validity.
The blind separation of audio signal is an important application of blind signal separation technology. The traditional separation algorithm based on neural network is analyzed first in this article. The shortage of it is easy to fall into local minimum, and it causes the limitation of convergence slowly and separation results inaccurate. Then, a separation algorithm is designed with genetic algorithm...
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