an elliptical tank cross-section is formulated to explore and optimization method, based on a real-coded genetic algorithm to enhance the roll stability limit of a tank vehicle. a shape genetic algorithm optimization problem is applied to minimize the overturning moment imposed on the vehicle due to c.g. height of the liquid load, and lateral acceleration and cargo load shift . the minimization...

one of the problems that sometimes occur in gas allocation optimization is instability phenomenon. this phenomenon reduces the oil production and damages downhole and surface facilities. different works have studied the stability and suggested some solutions to override it, but most of them (such as making the well intelligent) are very expensive and thus they are not applicable to many cases. ...

The present study was carried out to estimate genetic variability parameters for some traits such as pods per plant, cell membrane stability, one thousand kernel weight, flowering period, grain filling period, chlorophyll content, relative water content, leaf excised water content, seed per pod and pod length, in 16 winter rapeseed genotypes. Statistical analysis showed significant differences ...

L.T. Tunc , E. Budak * Sabanci University, Faculty of Engineering and Natural Sciences, Istanbul-Turkiye * [email protected] Abstract 5-axis milling is widely used in machining of complex surfaces such as airfoils. Improper selection of machining parameters may cause low productivity and undesired results during machining. There are several constraints such as available power and torque, c...

Genetic programming has been widely used in the engineering field. Compared with the conventional genetic programming and artificial neural network, geometric semantic genetic programming (GSGP) is superior in astringency and computing efficiency. In this paper, GSGP is adopted for the classification and regression analysis of a sample dataset. Furthermore, a model for slope stability analysis ...

introduction: manipulation of protein stability is important for understanding the principles that govern protein thermostability, both in basic research and industrial applications. various data mining techniques exist for prediction of thermostable proteins. furthermore, ann methods have attracted significant attention for prediction of thermostability, because they constitute an appropriate ...