【作者】 姚明龙； 王福林；

【Author】 Yao Ming-long , Wang Fu-lin ( Engineering College, Northeast Agricultural University, Harbin 150030)

【机构】 东北农业大学工程学院；

【摘要】 本文在现有文献研究的基础上,对车辆转向梯形优化设计模型的求解方法进行了探讨。通过对该模型的研究分析,用一般方法求解该模型,计算速度偏慢且容易陷入局部最优解。通过对实数遗传算法进一步研究,提出了一种改进算法。该算法不仅可快速产生初始种群,而且实现了子代种群的产生在优化方向上进行,提高了算法的搜索能力,克服了子代个体位置限制的不足,有利于保持种群的多样性,提高了避免未成熟收敛于局部最优解的能力。结合轮式车辆转向梯形机构的实例计算并与一般方法计算比较,证明该方法不仅可提高运算速度,而且增大了求得全局最优解的可能性。更多还原

【Abstract】 Based on the present literatures, real-coded genetic algorithm is further researched, and an improved method is proposed. This algorithm not only makes the initial population emerge quickly, but also makes offspring population produce in the direction of optimization, which increases the searching ability of this algorithm. The method overcomes the shortcoming of the limit of offspring individual position, and takes the advantage of keeping the variety of population, and promotes the best ability to avoid premature local convergence. Through the combination of wheeled vehicles to the steering trapezoid and with the examples of the general methodology of comparison, proven not only increase calculating speed, but also improve the possibility of seeking the whole optimal solution.更多还原