In this paper we give a survey of several stochastic programming models and algorithms for unit commitment problem under uncertainty load demands.
文章给出在不确定的荷载需求下机组组合问题的一些常见的随机规划模型和算法的综述。
In chapter 4, we research models and algorithms of vehicle routing problems with stochastic time.
第4章研究了随机旅行时间车辆路径问题的模型和算法。
They are stochastic search iterative algorithms and no demand of optimization object.
它们均是随机搜索的迭代算法，对优化对象的初始状态无要求。
Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques.
第二部分讲述语音识别系统中的有关演算法，包括模式分类，查找演算法，随机模型，语言模型等技术。
The convergences of several genetic algorithms are studied by using Markovian chain theory in stochastic processes.
用随机过程论中的马尔克夫链理论研究了几种遗传算法的收敛性。
Global optimization algorithms can be classified into two types: stochastic techniques and deterministic techniques.
全局优化算法可分为随机性算法和确定性算法。
Evolutionary algorithm called evolutionary algorithms is a kind of stochastic optimization methods by simulating natural evolutionary process.
进化算法也称演化算法，是一种模拟自然进化过程的随机优化方法。
Simulated evolution and simulated annealing are two stochastic search algorithms for solving the global optimization problems. They have been widely used in different engineering areas.
模拟进化和模拟退火是解决全局优化问题的随机搜索技术，它们在工程领域有着广泛的应用。
Two prototype algorithms of iterative learning identification, iterative learning Bayes and stochastic Newton algorithms, are proposed with detail.
推导得到两种迭代学习辨识算法：迭代学习贝叶斯法和迭代学习随机牛顿法。
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。
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters. These algorithms are based on the stochastic approximation method.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
Roughly, visual tracking algorithms can be divided into two main classes: deterministic tracking and stochastic tracking.
视觉跟踪算法主要分为两大类：确定性算法和随机性算法。
A new bilevel programming model-bilevel stochastic programming model is presented and the genetic algorithms based on Monte Carlo simulation to solve bilevel stochastic programming problem is given.
信用资产组合模型的分布计算是信用计量模型中一个非常重要的主题，对于这个问题一般常用的方法是进行蒙特卡罗随机模拟。
The algorithms using stochastic production simulation for generation plan are developed.
给出了发电计划应用的两个实际问题的解决方案。
The algorithms using stochastic production simulation for generation plan are developed.
给出了发电计划应用的两个实际问题的解决方案。
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