查询词典 integer optimization

To imagine such a situation, when you more than the amount of memory, and run a relatively large-scale process, will inevitably lead to a sharp reduction in the number of physical memory, and in this case the so-called "optimization software," the beginning of smart aleck, the data memory for paging to the hard drive, and the procedures needed for the operation of the data, which may have led to at the same time, the "optimization of software" tried to data paging to the hard disk, and the operating system attempts to read data from the hard disk into memory, a very large increase in hard drive read and write.

想象这种情况，当你内存数量不多，而又运行了比较大型的程序后，必然导致物理内存数急剧减少，而在这种情况下所谓的"优化软件"开始自作聪明，把占用内存的数据往硬盘上进行分页，而程序的运行需要这些数据，这可能导致了在同一时间内，"优化软件"试图将数据分页到硬盘，而操作系统试图将数据从硬盘读取到内存，极大增加了硬盘的读写。

The notes of essential solution and essential components of solution set for vector optimization are introduced in order to research the stability of weak efficient solution of general vector optimization including the infinite dimensional problems.

对向量优化引入本质解和解集的本质连通区的概念，研究一般向量优化问题弱有效解集的稳定性。

In this paper, the applications of statistical heuristic search to optimization computing are discussed,mainly the function optimization.

本文讨论统计启发式搜索算法在优化计算中的应用，主要是函数求优化。

In order to optimize tolerance values for an assembly system, a model for geometric dimension tolerance optimization was established and an algorithm for optimal tolerance design was proposed. The algorithm is divided into two stages: at the first stage, design centering problem is solved and statistical optimization for further lowing the cost is solved at the second stage.

为优化装配系统中公差链的公差值，建立了几何尺寸公差的优化模型，并提出公差的分层优化设计算法：第一层，解决设计公称值居中的优化问题；第二层，解决进一步降低成本的概率性优化问题。

Based on statistical learning theory and optimization theory,unconstrained optimization models for support vector machines are built,and an approximate algorithm-maximum entropy method is given.

本文方法特别易于计算机实现，数值实验结果表明了模型和算法的可行性和有效性。1引言近年来，在V.V apn ik的统计学习理论[1，2]基础上发展起来的支持向量机(Support V ector M ach ine，SVM)正成为机器学习领域中新的研究热点[3，4，5]。

For this reason, optimization methods and key techniques about steady state on-line optimization are studied in this thesis.

有鉴于此，本文以工程应用为目标，对在线优化中涉及的优化理论和关键技术进行了力所能及的探索和研究。

Particle swarm optimization algorithm is a stochastic global optimization technique, and it has been successfully applied in many areas.

粒子群算法是一种随机全局优化算法，在许多领域得到了广泛应用。

Particle swarm optimization algorithm is a kind of stochastic global optimization technology.

粒子群优化算法是一类随机全局优化的技术，它通过粒子间的相互作用发现复杂搜索空间中的最优区域。

Particle Swarm Optimization is a novel stochastic global optimization evolutionary algorithm.

粒子群优化算法是一种新的随机全局优化进化算法。

Quantum-Behaved Particle Swarm Optimization is a new stochastic global optimization method.

基于量子行为的粒子群优化算法是一种随机的全局优化搜索新方法。

Pachomius manual labour was organized as an essential part of the monastic life; and since it is a principle of the monks as distinguished from the mendicants, that the body shall be self-supporting, external work of one sort or another has been an inevitable part of the life ever since.

根据圣pachomius体力劳动组织作为一个重要组成部分寺院生活；以来，这是一个原则的和尚，作为有别于乞丐，该机构应自支撑，对外工作的这种或那种已一个必然的一部分，生活至今。

In order to study the effects of parametrical rolling on the ship movement and tilts, in allusion to ship's navigating in regular following waves, the equation of ship rolling motion is transformed into normal Mathieu equation by proper variable replacement when strong parametrical excitation in restoring moment varied according to sine or cosine wave.

为研究参数横摇对船舶运动和倾覆的影响，通过对船在规则波上随浪航行时，恢复力矩中出现的1个以正余弦规律变化的强参数激励项进行适当的变量置换，将船舶的横摇运动方程转换成标准形式的Mathieu方程。