.Traders make trade decisions specifying entry, exit, and stop loss prices. Technicians often decide on entry, exit, and stop loss prices based on a predefined set of technical rules. In this paper, we employ a method based on grammatical evolution to coevolve technical rules for entry, exit, and stop loss for trading a London Stock Exchange (LSE) based stock in high frequency. We consider the ...

in this paper, we study the problem of integrated capacitated hub location problem and seat inventory control considering concept and techniques of revenue management. we consider an airline company maximizes its revenue by utilizing the best network topology and providing proper booking limits for all itineraries and fare classes. the transportation system arises in the form of a star/star net...

The objective of this research is to develop and assess bus transit ridership models at a bus-stop level using two spatial modeling methods: spatial proximity method (SPM) and spatial weight method (SWM). Data for the Charlotte (North Carolina) area are used to illustrate 1) the working of the methods and 2) development and assessment of the models. Features available in Geographic Information ...

in this paper, a novel multi-objective bus stop location model is proposed, which considers not only the coverage of demand and minimization of access time but also the necessities of suitable stops for transit network design phase. three objective functions are considered including minimizing (i) sum of the total access distance (time), (ii) the weighted combination of stops, and (iii) the num...

The use of geographic information systems in determining transit service areas has not progressed far beyond simple buffering operations even though there is widespread capability to analyze network walking distances in conjunction with demographic, cadastral, and land-use data sets. This article presents a method for determining the population with walking access to bus stop locations using th...

Detection of acoustic phonetic landmarks is useful for a variety of speech processing applications such as automatic speech recognition.The majority of existing methods use Melfrequency Cepstral Coefficients (MFCCs) describing the short time power spectral envelope of the speech signal. This paper hypothesizes that a different feature extraction method can be used to complement MFCCs by capturi...