الفهرس 
Title : Gear design optimization using genetic algorithm /
SummaryOnly 14 pages are availabe for public view
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Abstract
Gears are one of the most important mechanical devices used for power transmission. Gear design optimization holds a wide concern in mechanical design for cost reduction and better performance. Gear design is a complex optimization problem; as it contains continuous, discrete, and integer design variables, rather than large number of design constraints making conventional optimization methods, depending on functions derivations and an initial starting point, inapplicable to solve such problems. In this thesis, GA is used, in addition to MATLAB as an optimization tool, to solve optimization gears design problems to minimize the volume of helical gear train, and to minimize worm gear power losses. Optimization design codes are written and final results are showed and discussed to show GA implementation effect on gear design