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。
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。
Puts forward a new ACA based on grid division to overcome the weakness of ACA in solving continuous function optimization problem, and expands the discrete space to the continuous space.
针对蚁群算法在求解连续优化问题上相对较弱的特点，提出了基于网格划分的蚁群算法，将传统的用于求解离散空间优化问题的蚁群算法进行了扩展。
In sizing optimization of truss with discrete variables, joined up optimization of continuous variable and discrete variable, the idea of multi-objections is used.
对离散变量的析架尺寸优化问题，本文提出了采用多目标规划的思想、将离散变量优化和连续变量优化结合起来的求解方法。
Joined up optimization of continuous variable and discrete variable, the difficult was solved by using the idea of multi-objections.
采用多目标规划的思想，将离散变量优化和连续变量优化结合起来，较好解决了离散变量优化设计时的难点。
A brief survey of the recent literature on discrete event simulation optimization is presented, and it separated into discrete and continuous input parameters.
对离散事件动态系统研究的仿真优化方法的最新进展进行了综述。根据仿真输入参数，分为连续参数方法和离散参数方法两种进行讨论。
For function optimization problems, according to the nature of the objective function domain, can be divided into discrete function optimization and continuous function optimization.
对于函数优化这个问题，根据目标函数定义域的性质，可以分为离散函数最优化和连续函数最优化。
For function optimization problems, according to the nature of the objective function domain, can be divided into discrete function optimization and continuous function optimization.
对于函数优化这个问题，根据目标函数定义域的性质，可以分为离散函数最优化和连续函数最优化。
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