分组实数遗传算法优化拖拉机转向梯形问题研究  

Study on Tractor Steering Optimization Based on Grouping Real Coded Genetic Algorithm

作　　者：张勇[1] 王福林[1] 玄登影 文士发 

机构地区：[1]东北农业大学工程学院,哈尔滨150030

出　　处：《农机化研究》2014年第12期92-95,共4页Journal of Agricultural Mechanization Research

基　　金：国家自然科学基金项目(31071331)

摘　　要：在现有文献研究的基础上,提出了分组实数遗传算法;在该算法的基础上,确定了拖拉机转向梯形的最佳参数。采用分组选择进行交叉,增大了种群的多样性,提高了搜索效率。对比其他优化方法,分组实数遗传算法能够较好地求得问题的全局最优解,且提高了运算的速度和可靠性。该算法对于拖拉机转向梯形的设计具有较大的应用价值。This paper presented grouping real coded genetic algorithm on the basis of the existing literature .And compu-ted the best parameters of the tractor steering by using this algorithm .To cross by grouping select enhanced the the diver-sity of population and the search efficiency .The grouping real coded genetic algorithm could achieve theglobally optimal solution and improve the speed and reliability of the operation compare with other optimization method .This algorithm has great application value in the design of tractor steering .

关 键 词：拖拉机 遗传算法 转向梯形 优化 

分 类 号：S219.01[农业科学—农业机械化工程]