Comparation of nonuniform and uniform Monte - Carlo Searching

Nonuniform Monte-Carlo method is often used for optimization and solution of function mapping. This method has some disadvantages. New genetic algorithm, based on uniform Monte-Carlo is proposed by authors reduce disadvantage of nonuniform Monte- Carlo method. Both of these methods are based on random number generation and therefore the solutions are approximate. Statistical evaluation of solutions is used for comparison

Modification of the optimization model for simulation of large-diameter pipes bending

This paper presents a modification of the existing optimalization model in order to increase the accuracy of the solution in the initial and the end part of the bend. Developed optimalization algorithms are implemented in the program MATLAB, and the simulation of the bending process is solved in the FEM program ADINA. Created optimisation program automatically generate model for FEM analysis and automaticaly analyses obtained results from FEM analysis

Modification of the optimization model for simulation of large-diameter pipes bending

This paper presents a modification of the existing optimalization model in order to increase the accuracy of the solution in the initial and the end part of the bend. Developed optimalization algorithms are implemented in the program MATLAB, and the simulation of the bending process is solved in the FEM program ADINA. Created optimisation program automatically generate model for FEM analysis and automaticaly analyses obtained results from FEM analysis