离散

For solving discrete optimization problem using DE,based on the idea of mathematic transform,the concepts of adjuvant search space and individual hybrid encoding are advanced.

接着，给出了HBDE的依概率收敛和完全收敛的定义，并利用离散Markov随机理论证明了HBDE是完全收敛的。

To solve the unit commitment that is a typical non-convex, nonlinear, high-dimensional and discrete optimization problem, a binary adaptive differential evolution algorithm is proposed.

针对机组组合这一典型的非凸、非线性、高维、离散的优化问题，提出了一种二进制自适应微分进化算法。

On the other hands, the application of the particle swarm optimization algorithm in discrete optimization problem—resources constrained project scheduling problem, which is always used in continuous optimization problem, provides some important train of thought and method for resources constrained project scheduling problem as well as widening the application area of particle swarm optimization algorithm.

同时将在连续优化问题中得到成功应用的PSO算法用于离散域的RCPSP，既拓展了PSO算法的应用领域，也为RCPSP的求解提供了一种新的思路和方法。

By defining time span combination, the continuous varying parameter optimization problem is transformed to discrete multi-parameter optimization problem and model is constructed.

引入时段组合的概念，将连续问题转化成离散问题，将变参数优化问题转化成多参数优化问题，建立了相应的数学模型，并给出简化求解的方法。

Tension of cables belongs to the optimization problem of discrete variable therefore the object function can not be explicit expressed. To solve this problem, the genetic algorithm was applied in optimizing calculation.

索张拉属于离散变量的优化问题，且目标函数无法形成显式，本文将遗传算法引入到优化计算中，解决了这一难题。

In reliability-based optimization problems of a ship's longitudinal structural design, there are lots of discrete variables and continuous variables. This kind of mixed-discrete non-linear optimization problem containing discrete and continuous variables has long been payed attention to, which is more difficult to solve when a number of reliability constraints are taken into account.

在船舶纵向结构的可靠性优化设计中，含有许多离散型设计变量和连续型设计变量，这种含有两种不同性质设计变量的大型结构物的混和优化问题，一直是人们瞩目的难题，尤其是考虑了多个可靠性约束条件之后，求解这种非线性优化问题就更为困难。

The particle swarm optimization method is applied to NSBM.Firstly the coding approach is designed and then the particles are sequenced using the priority value vectors which make PSO appropriate for the discrete optimization problem.

首先设计了微粒的编码方法；然后采用了基于优先值向量的排序方法对微粒进行解码，有效的利用了微粒群算法在离散优化中的优势；最后利用批调度策略进行分批处理，获得优秀的可行解。

It is a general framework algorithm, which has fast convergence performance and is easy to implement. PSO can be conveniently applied to solve complicated nonlinear, noncontinuous, multi-dimensioned optimization problem with discrete variables and multiple restrictions.

它收敛速度快、计算简单、通用性强，能方便地被用于求解带离散变量的非线性、不连续、多约束、多变量的复杂优化问题中。

This thesis proposed two methods of particle swarm optimization and genetic algorithm to optimal reactive power dispatch of transmission systems, respectively. The advantage of these methods is to achieve near optimal solution for discrete nonlinear optimization problem. So this thesis simulates the proposed method for IEEE 30-bus power system and a practical Taipower system.

本论文提出应用粒子群优法演算法和基因演算法，并使用电力潮流分析，调度输电系统中的无效功率，而粒子群优演算法和基因演算法，在求解非线性的离散解时，均能达到可能的最佳解，因此本文应用此两种方法对输电系统作最佳无效功率调度，并且使用IEEE 30-bus系统与实际台电系统作测试，比较此两种方法的调度结果。

Optimizing the Pumping Parameters(Length of Stroke,Pumping Speed, Plunger diameter and Pump depth) of Sucker-rod Pumping System is a mixed discrete optimization Problem.

优选有杆泵抽油井的抽油参数：冲程、冲次、泵径和下泵深度是一个混合离散变量的优化问题。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。