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swarm-spore相关的网络例句

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A new kind of image adaptive contrast enhancement approach based on particle swarm optimization algorithm and incomplete Beta function is given.

将免疫粒子群优化算法和非完全Beta函数结合,提出了一种自适应图像对比度增强方法。

A method of image enhancement is proposed based on particle swarm optimization,which can automatically find the optimal regularized Beta function to achieve image adaptive enhancement.

文中提出了一种基于微粒群的自适应对比度变换算法,该算法能自动寻找最优的Beta函数参数,实现图像对比度的自适应变换。

Analog circuits;Neural network;Fault diagnosis;Particle swarm optimization;Bilinear transformation;multidimensional spaces

模拟电路;神经网络;故障诊断;粒子群算法;双线性变换;多维变换

The particle swarm optimization is improved to overcome the difficulty in finding the shooting point of two-point boundary value problem.

针对打靶法中打靶点寻找困难的问题,提出了一种改进的粒子群算法。

A new particle swarm optimization, PSO with bounded mutation operator, was developed. In contrast to the original PSO, in this algorithm, PSO with bounded mutation operator would make the particles redistributed cquably close to boundary when place of particle exceeds feasible region during iteration.

提出了一种新的粒子群优化算法——带边界变异的PSO,其原理是:在迭代的过程中,当粒子的位置超出可行域时,带边界变异的PSO让粒子的位置重新均匀分布在边界附近;当粒子的速度超出可行域时,则使其均匀分布到整个可行区间,而不是像原始PS0那样在这2种情况下都只是简单地取边界值。

The main jobs of this dissertation are as following: Chapter one firstly describes the essential of collision detection problem, according which most the collision detection algorithms were classified into seven categories. Then a survey on hierarchy bounding volume, surface simplification and the particle swarm optimization is presented, which is the basis of the new frameworks.

本文的主要工作为:第一章概述了碰撞检测问题,把目前的碰撞检测算法分为八大类,主要介绍了与本文算法相关的层次包围盒技术和基于随机方法的碰撞检测技术,并详述了作为BASIC-PSO碰撞检测算法基础的粒子群优化搜索技术。

Then the particle swarm optimization is introduced to collision detection area. In this dissertation, it also proposes two novel framework which combines the exist techniques of hierarchy bounding volume and surface simplification with the PSO. We have tested the frameworks in our "Haptic Interactive System ". The new frameworks performance well for most models in virtual scene.

本文探索和研究了虚拟环境中广泛使用的碰撞检测算法,尝试把几何模型的碰撞检测问题转化为优化搜索问题,把粒子群优化搜索技术引入碰撞检测领域,并结合碰撞检测领域现有的层次包围盒技术和网格简化技术,组成新颖的限时干涉检测算法框架,即用户可以方便地控制分配给碰撞检测算法的时间,尝试去克服这一技术瓶颈。

One is tradition algorithm,which consists branch and bound method,improving loop method,cupidity algorithm,MST algorithm,MM algorithm,insertion method.Another is modern optimization algorithm which consists simulated annealing algorithm,artificial immune algorithm,genetic algorithm,ant colony algorithm,particle swarm optimization,Tabu Search,Hopfield neural network.The third is algorithm of DNA computing which is designed by authors.

第一种为传统算法,包括分支定界法、改良回路法、贪婪算法、MST算法、MM算法、插入法等;第二种为现代优化算法,包括模拟退火算法、人工免疫算法、遗传算法、蚁群算法、粒子群优化算法、禁忌搜索算法、Hopfield神经网络算法等;第三种为论文提出的DNA计算算法。

In this paper, constrained optimal problems are solved using particle swarm optimization. Owing to constrained conditions, searching space is not bulgy and particles are easy to be limited to local optimal.

采用粒子群算法处理约束优化问题时,由於约束条件使得解空间成为非凸集合,粒子容易陷入局部最优。

When Gul'dan enters the burial chamber, however, he accidentally releases a swarm of demons that kill him.

当古尔丹进入墓穴时,他无意间释放的大群的恶魔杀死了他。

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