Application Of Genetic Algorithm In Mechanical Optimization Design And Dynamic Simulation Research

Genetic algorithm is a kind of random optimize search method refer to the evolution law of biological circle (the hereditary mechanism of the fittest survival). This paper introduced the origin of genetic algorithm, the developing course, basic principle and application feature of genetic algorithm, as well as trying on researching the specific strategy of each composition essential factor of genetic algorithm. On the basis of other's improved genetic algorithm, I gived two improved genetic algorithm. Final , this paper studied the example of mechanical optimization design by genetic algorithm and improved genetic algorithm, and studied simply kinematics simulation, Passed to imitate to really turn the result of the machine optimization design.Therefore,(1)this paper first of all researches the realization form of GA composed essential factor such as schemata theorem, the astringency of inherit calculate way, the coding way of chromosome, fitness value appraise function, selection operation, crossover operator, mutation operation and parameter choice, And some other's improved genetic algorithm. (2)On the basis of other's improved genetic algorithm, I gived two improved genetic algorithm. An adaptive genetic algorithm and Simulated Annealing on the basis of niche, and improved Genetic algorithm on the basis of Model theorem combined Adaptive genetic algorithm.(3)I conducted a study to application of genetic algorithm in Mechanical Optimization Design. Improved genetic algorithm is used and studied in reliability design of machine parts and track of planar linkage change agencies, and basic genetic algorithm is applied by plan four bar optimization design.(4)Finally, this paper told the Kinematics Simulation Research software -----ADAMS. And Optimum Design is combined with Kinematics Simulation.