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With the continual rising of oil price and the intensification of greenhouse effect, how to reduce operational fuel consumption and decrease air pollution is very meaningful. This paper establishes a fuel consumption prediction model and presents an improved A∗ algorithm for fuel-efficient ship weather routing. The improved A∗ algorithm measures the angle between a segment from the starting node to...
This paper proposes an enhanced particle swarm optimization with gradient information (GPSO) for unconstrained optimization. Newton's method and mutation operation are embedded in the velocity update equation to improve the effect of cognition influence and social influence, respectively. Based on numerous test function taken from the literature, computational results via a variety of experimental...
Text classification is a very important technique for gathering Web information. A novel approach based on multi-population collaborative optimization is proposed for the extraction of Web text classification rules. The information entropy was applied for the initialization of the populations and the multi-population collaborative optimization was applied for the evolution of the populations. The...
Most text classification methods are highly complicated on computation and can not be used on the occasion of classifying a large number of texts. A novel approach based on multi-population collaborative optimization was proposed for the extraction of text classification rules. The mutual information was applied to generate the initial populations and the multi-population collaborative optimization...
A novel method for self adapting morphological top-hat operator was presented. The structural elements of opening top-hat are trained by utilizing the support vector machine from a mass of sample sets. Once the machine is trained by the samples of structural elements, it can implement background suppressing in the following frames. Practical infrared image sequence background suppressing shows that...
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