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The layout problem of weighted circles is a class of layout optimization problems with behavior constraints. Aiming at this NP-hard problem, this paper puts forward a fast heuristic ant colony approach(FHACA). This approach obtains the heuristic information from weighted matrix and uses it to construct the better ants and design parameters of ant colony optimization. The layout schemes of some ants...
In the area of the distributed sources parameter estimation, the conventional maximum likelihood estimation (MLE) algorithm, which being called 4D-MLE here, is a four dimensional nonlinear optimization problem, therefore its computation cost is very large. A lower dimensional MLE algorithm, which being simplified to three dimensional nonlinear optimization problem, is proposed. It is called 3D-MLE...
The purpose of Web text mining is to find the potential knowledge from the immensity text information on the Internet. In this paper, a novel Web text mining method is proposed based on semantic polarity analysis. Firstly, the model for Web text mining is presented by using semantic polarity analysis, which includes three main parts: data acquisition, feature sentences analysis and semantic polarity...
Fast and accurate online tracing of network worm during its propagation is essential for worm containment and reducing the loss. Though worm is randomly spread, there exists implicit causality between adjacent infected nodes. Using this causality can help to enhance the performance of worm tracing algorithm. Bayesian Network can be a very good probability description of the current results and prior...
Inversion of surface wave dispersion curves is challenging for most local-search methods due to its high nonlinearity and to its multimodality. In this study, we implemented and tested a surface wave dispersion curve inversion scheme based on PSO ACO (Particle Swarm Optimization hybridized with Ant Colony Optimization) to overcome its slow convergence and to avoid its wandering neighborhood the global...
A new kind of exponential inertia weight particle swarm algorithm is presented and the astringency analysis is finished in the paper. The results of application example proved that practical optimization parameters can be obtained in limited time by the method, and it is a kind of effective way to solve such kind of problem.
The determination of the optimal oxygen content is very important in power plant operation optimization. Due to the disadvantages of traditional ways, this paper proposed a new method to decide the optimal oxygen content based on incremental updating data mining. This method could determine the optimal oxygen content and related frequent items by fuzzy quantitative association rule mining algorithm...
A novel hybrid method included two phases for discovering maximal frequent itemsets is proposed. A flexible hybrid search method is given, which exploits key advantages of both the top-down strategy and the bottom-up strategy. Information gathered in the bottom-up can be used to prune in the other top-down direction. Some efficient decomposition and pruning strategies are implied, which can reduce...
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