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Adaptive beamforming is critical in high performance radar and wireless communications applications. This paper presents a study of adaptive beamforming for arbitrary array by applying the powerful and versatile particle swarm optimization (PSO). Numerical experiments for sidelobe suppression, nulling, null steering and array failure correction have demonstrated that the presented PSO approach is...
Studying price impact is important in finance and previous work examines the relationship between trade size and price impact on a number of equity markets. In this study, using recent order book data from the London Stock Exchange, we examine the price impact function for six highly-liquid stocks and novelly investigate whether the function displays time-of-day effects. The results show that price...
For multi-attribute decision-making problems (MADP), considering the preferences of consumers, this paper proposed a solution combining subjective and objective information, that is consumer preferences, objective factors and expert subjective judgment. Based on the natural properties of decision alternatives, the attributes matrix was constructed and then standardized. Taking the rational weights...
AHP (Analytic Hierarchy Process) is used to make decision in many fields. There are many tasks to be completed artificially in an AHP evaluation. Traditional AHP evaluation systems rarely support collaborative evaluation among many experts and the decision maker. The paper presents the design and implementation of a collaboration-based AHP evaluation system. In its architecture, workflow technology...
After several years' rapid development, grey system theory has been applied in various research areas successfully. However, the application of grey system theory in psychology and medicine is rare. This paper analyses the characteristics of neuropsychological studies, such as the particularity of the study subjects and the specialty of the study scheme. As the traditional statistical method cannot...
Distribution network optimization reconfiguration has important significance on improving distribution network operation. Ant colony algorithm is a common method in distribution network optimization reconfiguration. However, as there is the problem of slow convergence speed and local optimum, the development of ant colony algorithm is restricted in distribution network optimization. To solve the problems,...
In order to increase the degradation efficiency of chlorpyrifos pesticides in soil, a organ phosphorous degrading condition was optimized for a compound microbial agent which composed of a high-performance microbial and unninghamella. Orthogonal design table was used to select soil moisture, pH, chlorpyrifos concentration and compound microbial agents inoculation amount as reference factors in potted...
Trade execution is concerned with the actual mechanics of buying or selling the desired amount of a financial instrument of interest. A practical problem in trade execution is how to trade a large order as efficiently as possible. A trade execution strategy is designed for this task to minimize total trade cost. Grammatical Evolution (GE) is an evolutionary automatic programming methodology which...
Sequential pattern mining is an important data mining problem with broad applications. Most previous sequential mining algorithms generate an exponentially large number of sequential patterns. In addition, all items and sequences are treated uniformly. It would be better if the unimportant patterns could be pruned first, resulting in fewer but important patterns after mining. In this paper, we suggest...
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