离散问题

Hybrid coding differential evolution algorithm is a new effective way for solving the discrete optimization problem.

混合编码差异演化算法是求解离散约束优化问题的一种有效方法。

Using a new range encoding mapping,the differential evolution algorithm can be used to deal with discrete optimization problem.

其次，利用一种新的区间编码映射机制，将差异演化算法扩展到求解离散领域优化问题。

Simulation results demonstrated that this method could effectively solve discrete optimization problem with lower cost.

通过实例计算和结果比较，说明该算法能有效地解决此类离散优化问题，降低成本，提高效率，所得解质量较高，有很好的实用价值。

The genetic algorithm is a kind of self-adapting optimization method based on the mechanics of natural selection and evolution. It is appropriate to deal with the discrete and multi-variable combined optimization problem.

遗传算法是一种基于自然选择和进化机制而形成的一种自适应全局优化算法，它非常合适处理离散的、多变量的组合优化问题。

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。

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。

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。

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。

In order to solve set-based combinatorial problems, a new model of discrete particle swarm optimization is proposed.

针对变长集合组合优化问题，提出了一种离散粒子群优化模型。

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。