查询词典 combinatorial optimization problem

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。

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。

Particle swarm optimization is a new stochastic optimization technique originating from artificial life and evolutionary computation.

粒子群优化算法是一类新兴的随机优化技术，其思想来源于人工生命和演化计算理论。

The inventory cost is a primary component of the supply chain cost, and the method for multi-echelon inventory optimization and control must be adopted for the sake of the entire supply chain optimization and control, t present, papers on multi-echelon inventory systems have solved some problems, but they still have limitations. Firstly, they assumed that leadtime are constants. In practice, as the unknowable incidents exist in production, transportation and distribution processes, leadtime usually are uncertain. Secondly, there exist the hypotheses of totally back orders or completely lost sales under the condition of stockout in most literatures. Thirdly, the existing two-echelon inventory approximate model optimum always fixes one variable in the inventory strategy, and then seeks the optimal in the remained parameters, which makes the result can not be the best outcome.

目前有关两级库存优化控制的研究文献大多是假设提前期为常数的基础上建立模型，然而现实中由于供应链上各节点的库存不确定性以及运输、生产、交货等环节的不可预知性，使得提前期在多数情况下是不确定的；而且大部分文献都是假设缺货情况下要么完全延迟交货，要么完全损失销售，很少有考虑部分损失销售情况下库存优化控制的；另外，现有的两级库存近似模型的优化大都是固定一个库存策略中的变量，对余下变量寻优，其优化结果不可能是最优结果。

We have something to do in the new stage.

在这段崭新的时期中，我们有一些要做的。

The difference between tourism decision-making under uncertainty and risky tourism decision-making is indistinctive.

其中不确定性旅游决策和风险旅游决策的界线比较模糊，两者的区分是相对的。