In this research, the transport process of a non-reactive contaminant through layered sandy soils and dispersion coefficient behavior in different configurations of these soils were investigated. Tracer tests included pollution and leaching experiments conducted in a sa More
In this research, the transport process of a non-reactive contaminant through layered sandy soils and dispersion coefficient behavior in different configurations of these soils were investigated. Tracer tests included pollution and leaching experiments conducted in a sandbox with dimensions of 130 cm×10 cm×60 cm. Three types of homogeneous sandy soils (coarse, medium and fine) as a control and six types of layered sandy soils were studied.The results showed that in the homogeneous sandy soils, the dispersion coefficient increased with increasing particle size of sand. For example, the dispersion coefficients of the coarse sandy soil in the pollution and leaching experiments were 8.46 and 7.91 orders of magnitude larger than the dispersion coefficients of the fine sandy soil, respectively. In the layered sandy soils, the type of configuration and the order of layers at each configuration influenced dispersion coefficient. In the pollution and leaching experiments, the least values of dispersion coefficients were equal to 12.50 cm2/min and 17.16 cm2/min, respectively, which were observed in the perpendicular configuration with stratification of coarse-medium-fine. However, the most values of dispersion coefficients in the pollution and leaching experiments were equal to 32.56 cm2/min and 37.31 cm2/min, respectively, which were obtained in the parallel configuration with stratification of coarse-fine- medium (from bottom to top). The dispersion coefficients of the layered sandy soils differed significantly from those of the homogeneous sandy soils. The transport process in the layered sandy soils, compared to the homogeneous sandy soils, had a more deviation from Fickian transport.
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There are number of datamining applications that are fighting with Adversaries, Spam filtering to intrusion detection is as an example. For reducing the classifier accuracy, Adversary intentionally manipulate data. Consequently, in all these applications initially succe More
There are number of datamining applications that are fighting with Adversaries, Spam filtering to intrusion detection is as an example. For reducing the classifier accuracy, Adversary intentionally manipulate data. Consequently, in all these applications initially successful classifiers will decline easily. In this paper, we model the interaction between the classifier and the adversary as a two players sequential game then we model the interaction as an optimization problem and solve it using evolutionary strategy. Finally, simulation results show the good performance of the proposed algorithm, and improves accuracy spam detection on several real world data sets.
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Since the keyboard is the primary device of entering text into a computer, a keyboard with letters on the proper layout of high performance is essential. Obtaining a suitable arrangements for the letters on the keyboard is an optimization problem which different methods More
Since the keyboard is the primary device of entering text into a computer, a keyboard with letters on the proper layout of high performance is essential. Obtaining a suitable arrangements for the letters on the keyboard is an optimization problem which different methods have been proposed to solve it and its answer is the most appropriate permutation for letters on the keyboard which is 26 letters for English keyboard. In this paper, a new English keyboard layout has been proposed using evolutionary strategy which aims to increase typing speed and rectify some problems of current layout. To this end, a fitness function is used which includes parameters such as keys distance, fingers switch, frequency of use of both hands and etc. Different experiments have been conducted to evaluate the proposed approach and the results indicate that the obtained layout acts better than the current and other proposed layouts in the literature.
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Although optimization of weighted objectives is ubiquitous in production scheduling, the literature concerning the determination of weights used in these objectives is scarce. Authors usually suppose that weights are given in advance, and focus on the solution methods f More
Although optimization of weighted objectives is ubiquitous in production scheduling, the literature concerning the determination of weights used in these objectives is scarce. Authors usually suppose that weights are given in advance, and focus on the solution methods for the specific problem at hand. However, weights directly settle the class of optimal solutions, and are of utmost importance in any practical scheduling problem. In this study, we propose a new weighting approach for single machine scheduling problems. First, factor weights to be used in customer evaluation are found by solving a nonlinear optimization problem using the covariance matrix adaptation evolutionary strategy (CMAES) under fuzzy environment that takes a pairwise comparison matrix as input. Next, customers are sorted using the technique for order of preference by similarity to ideal solution (TOPSIS) by means of which job weights are obtained. Finally, taking these weights as an input, a total weighted tardiness minimization problem is solved by using mixed-integer linear programming to find the best job sequence. This combined methodology may help companies make robust schedules not based purely on subjective judgment, find the best compromise between customer satisfaction and business needs, and thereby ensure profitability in the long run.
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