Artificial neural networks and genetic algorithms derived from the corresponding simulation of biology, anatomy. The paper analyzes the advantages and the disadvantages of the artificial neural networks and genetic algorithms. The artificial neural networks and genetic algorithms to be combine in the prediction model. This method is used to predict traffic volume in a road, the accuracy of fore...

this paper studies the hybrid flow shop scheduling where the optimization criterion is the minimization of total tardiness. first, the problem is formulated as a mixed integer linear programming model. then, to solve large problem sizes, an artificial immune algorithm hybridized with a simple local search in form of simulated annealing is proposed. two experiments are carried out to evaluate th...

Sediment rating curve (SRC) is a conventional and a common regression model in estimating suspended sediment load (SSL) of flow discharge. However, in most cases the data log-transformation in SRC models causing a bias which underestimates SSL prediction. In this study, using the daily stream flow and suspended sediment load data from Shalman hydrometric station on Shalmanroud River, Guilan Pro...

Finding an optimal path for a robot in a soccer field involves different parameters such as the positions of the robot, positions of the obstacles, etc. Due to simplicity and smoothness of Ferguson Spline, it has been employed for path planning between arbitrary points on the field in many research teams. In order to optimize the parameters of Ferguson Spline some evolutionary or intelligent al...

in this paper a simple and effective expert system to predict random data fluctuation in short-term period is established. evaluation process includes introducing fourier series, markov chain model prediction and comparison (gray) combined with the model prediction gray- fourier- markov that the mixed results, to create an expert system predicted with artificial intelligence, made this model to...

in this research, data fusion (df) method was applied to simulate the hydrological process of taleghan reservoir daily inflow. two different df algorithms were proposed and assessed based on k-nearest neighbors (knn) algorithm. four artificial neural network models and two hammerstein-wiener (hw) models were used as the individual simulation models. comparison of the results between individual ...

Artificial Neural Networks are information processing systems. Over the past several years, these algorithms have received much attention for their applications in pattern completing, pattern matching and classification and also for their use as a tool in various areas of problem solving. In this work, an Artificial Neural Network model is presented for predicting the tensile properties of co...

Forecasting energy price and consumption is essential in making effective managerial decisions and plans. While there are many sophisticated mathematical methods developed so far to forecast, some nature-based intelligent algorithms with desired characteristics have been developed recently. The main objective of this research is short term forecasting of energy price and consumption in Iranian ...

finding an optimal path for a robot in a soccer field involves different parameters such as the positions of the robot, positions of the obstacles, etc. due to simplicity and smoothness of ferguson spline, it has been employed for path planning between arbitrary points on the field in many research teams. in order to optimize the parameters of ferguson spline some evolutionary or intelligent al...