寻找 seek; look for; search; searching; finding; tracing; location; pathfinding; hunting 寻找失物 look for sth. lost; 寻找新的水源 search for new water sources; 寻找时间 seek time; 寻找新的线索 cast about for fresh clues; 寻找油田 hunt for oilfields
生活的目标,是唯一值得寻找的财富 an aim in life is the only fortune worth finding. -- robert louis stevenson
查找目录系统调用 search directory system call; searchdirectorysystemcall
目标 1.(对象) target; objective 发现目标 detect the objective; 击中目标 hit the target; 军事目标 military objective; 正中目标 be dead on the target; 他是嘲笑的目标。 he is a target for scorn.2.(目的) goal; aim; destination 达到目标 achieve one's aim; 怀着崇高的目标 with a lofty end in mind; 为一个共同目标而奋斗 fight for one common goal; 追求自己的目标 pursue one's own end; 他们有相似的目标。 they had the similar aims
These formulae are suitable for general unknown environment , static or dynamic . secondly , based on those analysis , the basis behaviors which constructing the path planning are built 其次,在所提出转角的基础上,我们分析了车式移动机器人在避开障碍物时的基本避障行为、沿墙走行为及寻找目标行为。
We construct an interacting model with smart object technology and use virtual memory to remember what happened . the artificial fish in the ve looks for the target according to current inner states , the information observed by virtual perception and the information got from objects around itself . in the looking course , it utilizes basic behavior such as obstacle avoiding , reducing hungry , reducing fatigue and so on 人工鱼根据内部状态和感知信息,以及从周围基于行为建模的人工鱼动画技术研究浙江大学硕士毕业论文环境的物体询问到的信息,能寻找目标鱼的位置,并具有碰撞检测及其他减少饥饿、减少疲劳等基本行为等。
Abstract : genetic algorithms are such search and optimization meth ods , which have recently developed to stimulate the mechanism of natural evoluti on . these methods are based on those of natural evolution , and are powerful in fin ding the global or near global optimal soultion of optimization problems . the ki nds of optimization methods have found application and have shown to be of great promising . this paper systematically introduces some fundamental aspects of the optim ization methods , including their theories , methods , implemintation techniques and s om e common probelms related to their applications , together with a concise survey o f their application status in several fields 文摘:遗传算法是模拟生物进化机制新发展起来的一种搜索和优化方法,它是基于自然进化机制并且在寻找目标函数或在目标函数附近解决优化问题.遗传算法已在许多领域得到应用,并显示出良好的发展前景.本文介绍了一些优化方向的基本问题,包括理论、方法、实现技术以及应用中的普遍性问题,对其应用前景进行了展望