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以某高速插秧机变速器的优化设计为例,将Pareto最优解概念和遗传算法相结合,在遗传算法的基础上引入群体排序技术、小生境技术和Pareto解集过滤器等技术,并针对设计变量都是离散变量的特点,采用先将生成的随机数变换到约束范围后再圆整到最近离散值的方法,构造了适用于求解多目标优化问题的Pa-reto遗传算法,运用该算法获得了变速器在体积最小、中心距最小和总重合度最大目标下的Pareto最优解集。结果表明,采用Pareto遗传算法优化设计的变速器达到了综合优化设计的效果。
Taking the optimization design of a high-speed rice transplanter as an example, this paper combines the Pareto optimal solution concept and genetic algorithm, introduces the technology of population sorting, niche technology and Pareto solution filter on the basis of genetic algorithm, Variables are the characteristics of discrete variables. By using the method of first transforming the generated random numbers into the constrained range and then rounding to the nearest discrete value, a Pa-reto genetic algorithm suitable for solving multi-objective optimization problems is constructed. By using this algorithm, The Pareto optimal solution set for the transmission with the smallest volume, the smallest center distance and the highest total coincidence degree is obtained. The results show that the Pareto genetic algorithm to optimize the design of the transmission to achieve a comprehensive optimization of the design results.