Genetic Algorithms for Optimum Machine Elements

Research Area: Volume 4 Issue 1, Jan. 2015 Year: 2015
Type of Publication: Article Keywords: Optimum, Machine Elements, Genetic Algorithm, Mathcad
Authors:
  • As. Koço Bode
  • As. Odhisea Koça
  • Msc. Anis Sulejmani
Journal: IJEIR Volume: 4
Number: 1 Pages: 151-157
Month: Jan.-Feb.
ISSN: 2277-5668
Abstract:
The purpose of this paper is to optimize the calculation by means of a Genetic Algorithm (GA) universal for designing elements of machines. In this paper, its results are taken and compared with the standard calculations for spurs gears and for some of their parameters as axial distance, weight, etc., or even the realization of some other objectives set as an objective function and the selected variables as wheel width and the tooth number of the pinion, and placed in restrictive settings termed- flexural strain and strain in contact. Since the multi-objective function with constraints is very difficult to be optimized using the conventional optimization techniques it is recommended to use the non-traditional optimization technique called Genetic Algorithm. The non-traditional algorithms are very difficult to be solved manually. The solution for a non-traditional method can be obtained by programming the above algorithm by means of programming language "C", Visual Basic or mathematical software MATLAB, Mathematics, etc. MathCAD. In this article for the algorithm workout and the sample presentation is used MATHCAD program.

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