Improved Genetic Algorithm And Its Application In Mechanical Design

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) .It is first put forward by America Professor J.Holland in 1975. its main feature is: direct operation to structural object, no the limitation of function continuity or function derivativeness; intrinsic parallel and the ability of seeking the best in the whole situation; adopting probability method, capably getting and guiding the search space of optimization voluntarily , adjusting search direction by adaptation to itself, no definite regular. It is one of the crucial technologies in modern intelligent calculation.This paper, fist of all, introduced the origin of genetic algorithm, the developing course, leading research direction, basic principle and the application feature of genetic algorithm, as well as trying on researching the specific strategy of each composition essential factor of genetic algorithm Then, combined specific application type, this paper puts forward improved genetic algorithm that is efficient and differently adapt to their own situation. Final, this paper executes programming and example research using the improved genetic algorithm in mechanical optimization design.Therefore,(1)this paper fist of all researches the Realization form of GA composed essential factor such as the coding way of chromosome , fitness value appraise function, selection operator, crossover operator, mutation operator and control parameter, researches the mixed genetic algorithm that mixed part prior algorithm with genetic algorithm and the parallelism of genetic algorithm. By above the research, this paper put forward the search way and of feasible solution to dispose infeasible solution , the realization method of stable copy and sharing function, several kinds of methods and models that realize the parallelism of genetic algorithm and discussing the mixed genetic algorithm.(2)Then, by the research of The applications types such as function optimization, combination optimization, Multi-objective optimization and fuzzy optimization , this paper have respectively put forward the scheme of Improved genetic...