discrete particle信息详情
离散颗粒
particle───n.颗粒；[物]质点；极小量；小品词
god particle───上帝粒子
discrete function───[数]离散函数
particle beam───粒子束，[高能]粒子束流
particle crossword───粒子纵横字谜
charged particle───[物]带电粒子；带电粒子; 荷电粒子
particle accelerator───[核]粒子加速器；质点加速器；n.粒子加速器
discrete data───[计]离散数据；间断数据
discrete mathematics───[数]离散数学
discrete Particle Swarm Optimization (PSO) algorithm was presented for Job Shop scheduling problem.───了用于解决作业车间调度问题的离散版粒子群算法。
Basic concepts of computer modeling in science and engineering using discrete particle systems and continuum fields.───科学与工程问题中离散粒子体系及连续场计算机建模的基本概念。
A discrete particle swarm algorithm for the rectangular strip packing problem is presented.───提出了一种基于离散粒子群优化算法求解矩形件排样问题的方法。
The rapid motion of the electros causes the sluggish nuclei to "see" the electron as a charge cloud, rather than as a discrete particle.───电子的快速运动使得缓动的核把电子“看成”象电核云，而不是象分立的粒子。
Gas-phase field and discrete particle field are treated respectively by a Eulerian method and a Lagrangian one.───分别用欧拉方法处理气相场和用拉格朗日方法处理离散颗粒场。
In this paper , the theory of random discrete particle light scattering and random rough surface light scattering are combined.───将随机介质离散粒子光散射理论和粗糙面光散射理论结合起来，利用计算机图形学精确建立复杂目标的几何模型。
A discrete particle model of a gas fluidized bed with particle size distribution has been developed.───建立了适合描述宽筛分流化床气固两相流动结构的离散颗粒模型。
A discrete particle swarm optimization algorithm is designed to tackle the Traveling Salesman Problem.───提出一种优化线性顺序问题的简便的离散粒子群算法。
An enumeration method was used to get the optimal splitting of the candidate branches. A modified discrete particle swarm optimization algorithm (MDPSO) was used to get the final strategy.
In this paper, a new routing approach based on discrete particle swarm optimization algorithm is briefly discussed to obtain the optimum path between two nodes in the network.
Discrete particle models can be classified into Deterministic method and Stochastic method in accounting for the particle collisions.
A discrete particle model of a gas fluidized bed with particle size distribution has been developed.
To improve the efficiency of goods location assignment in autonomous vehicle storage and retrieval system, an optimal method based on discrete particle swarm optimization is proposed.
Gas-phase field and discrete particle field are treated respectively by a Eulerian method and a Lagrangian one.
The coupling of the discrete particle with continuum gas was achieved by applying the principle of Newton's Third Law of Motion.
Here, discrete particle swam optimization algorithm is introduced to solve the problem of optimal restoration of distribution feeders during cold load pickup.
A new improved discrete particle swarm optimization algorithm is designed to tackle the Traveling Salesman Problem.