期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：1
页码：1-8
DOI：10.14257/ijhit.2016.9.1.01
出版社：SERSC
摘要：Through researching the Single-point crossover and multi-offspring genetic algorithm, we find out the range of the offspring in the process of generation. It uses the shortest time and produces the least number of iterations. Then putting it into the agricultural harvest machinery system equipped with the model, we can get the best quantity in equipment. The application proves that the improved single-point crossover and multi-offspring genetic algorithm is better to solve nonlinear mixed integer programming problem.
关键词：Single-point crossover and multi-offspring genetic algorithm; Genetic ; algorithm; Equipped with harvest machine system model
