The demand to optimization objects is lower , and it is applied extensively in engineering applications and science researches . due to the prominent ability of optimization , we can consider naturally to take the advantage of genetic algorithm to optimize the parameters of fuzzy controller . this paper brings forward a kind of fuzzy controller optimized by genetic algorithm to control dc - dc converter , and makes some improvement to the traditional genetic algorithm to improve the ability of optimization 遗传算法是模拟自然界生物进化“优胜劣汰”原理的一种参数寻优算法，它具有隐含并行性和全局最优化的能力，并且对寻优对象的要求比较低，在工程应用和科学研究中，得到了广泛的应用，由于遗传算法的卓越的寻优能力，我们很自然地想到用遗传算法来优化模糊控制器的参数，本文就提出一种用遗传算法优化的模糊控制器来控制dc - dc变换器，并且对传统的遗传算法进行了改进，使之优化能力更好，经过仿真试验证明经过改进的遗传算法优化的模糊控制器对dc - dc变换器的控制效果更好。
The mo - dified first - come - first - served algorithm , time - adva nc e algorithm and constrained position - shift algorithm are put forward to automat ically plan the most efficient landing order , to assign optimal spaced landing times to all arrivals without violate the spacing requirements for different typ es of aircraft and to enhance the usage of the runway under heavy traffic condit ion in the terminal area 为了能够在终端区交通繁忙的情况下高效地为到达的飞机流安排合理的着陆次序，并在不违反飞机间距要求的情况下给出各飞机经过优化的着陆时间，提高机场跑道的利用率，提出了经过改进的先来先服务、带有时间提前量、带有约束的位置偏移三种排序算法。
