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Genetic algorithm is stochastic searching and optimization method using concept of natural evolution and genetics.

遗传算法是一种模仿生物自然进化过程的随机搜索和优化算法，其优势在于可以高效的处理传统搜索方法难以解决的非线性问题。

Based on this assumption,this paper proposes a stochastic optimization model,in which the term structure of interest rate follows vasicek model.

基于该假设，本文提出了一个随机优化模型，其中利率期限结构是一个vasicek形式的随机过程。

Last chapter discusses the stochastic optimization problem of structure withrandom parameters.

论文最后一章研究了随机参数结构的随机优化设计问题。

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。

Due to its character of "uphill climbing", stochastic optimization algorithm is widely used to solve inverse problems.

因而具有"上山"性的随机类优化算法成为求解逆问题的主要数学工具。

Stochastic structure dynamic analysis and optimization design based on dynamic reliability have wide engineering background and are of important theoretical significance and research worthiness.

随机结构系统的动力分析与动力可靠性优化设计是结构工程领域中的前沿性课题，具有广泛的工程背景和重要的理论意义与学术价值。

Third is a novel particle swarm optimization with stochastic mutation.

具有随机变异特性的改进型粒子群算法。

The work presented in this thesis aims at creating a systematic and stable method based on stochastic optimization strategy to tackle this problem.

本文旨在应用随机最优化原理，建立求解这一复杂问题的有效的系统工程方法。

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 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。