Particle swarm optimization (PSO) is a new stochastic optimization technique originating from artificial life and evolutionary computation.
粒子群优化(PSO)算法是一类新兴的随机优化技术，其思想来源于人工生命和演化计算理论。
This paper gives a simple classification of stochastic optimization problems, and then summarizes important algorithms for stochastic optimization in discrete and continuous parameters.
本文给出了随机型优化问题的分类，并综述了离散参数和连续参数随机型优化问题中典型的求解算法。
The stochastic optimization method for skeletal structures with random parameters under random loads action is studied.
研究了随机杆系结构在随机荷载作用下的随机优化设计问题。
SA is a stochastic optimization technique that has been used to solve continuous, order discrete and muti-modal optimization problems.
模拟退火算法是一种用于解决连续、有序离散和多模态优化问题的随机优化技术。
Evolutionary Programming (EP), a multi agent stochastic optimization technique, can lead to global optimal solutions for complex problems.
进化规划(EP)是一种随机优化技术，它可以发现全局最优解。
The work presented in this thesis aims at creating a systematic and stable method based on stochastic optimization strategy to tackle this problem.
本文旨在应用随机最优化原理，建立求解这一复杂问题的有效的系统工程方法。
A multiresolution registration method using mutual information combined with a stochastic optimization technique is presented to solve these problems.
提出了一种结合互信息和随机优化技术的多分辨率配准方法。
Using the method of implicit stochastic optimization and comparing the concept of reservoir regulation function, the irrigation optimization function was proposed.
论文根据隐随机优化的特点，借鉴水库调度函数的定义方法，提出了灌溉优化函数的概念。
This article studies the value of the firm under the condition of stochastic future net cash flows, and builds up the stochastic optimization model of the firm value.
本文研究了净现金流为随机过程情况下的企业价值，并建立了企业价值的随机优化模型。
These situations are formulated as the module placement with pre-placed modules. For solving the problem, the methods used are usually stochastic optimization placement algorithm.
此类问题能被形式化为带有预放置模块的布局问题，关于此问题的求解方法多为随机优化方法。
Aimed at the problem of selecting suitable parameters and operators for SA and GA, an OCBA based approach is proposed by formulating the considered problem as a stochastic optimization problem.
针对模拟退火和遗传算法的参数和操作选取问题，通过将其描述为随机优化问题，提出了基于OCBA的解决方法。
This paper mainly presents the method of solving inverse electromagnetic problems, the improvement of the stochastic optimization algorithm and the optimal designing of outer-rotor permanent motor.
本文讨论了电磁场逆问题的求解方法，系统地进行了随机类优化算法的改进研究以及轮毂式永磁电机优化设计的应用研究。
This paper mainly presents the method of solving inverse electromagnetic problems, the improvement of the stochastic optimization algorithm and the optimal designing of outer-rotor permanent motor.
本文讨论了电磁场逆问题的求解方法，系统地进行了随机类优化算法的改进研究以及轮毂式永磁电机优化设计的应用研究。
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