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。
The stochastic optimization method for skeletal structures with random parameters under random loads action is studied.
研究了随机杆系结构在随机荷载作用下的随机优化设计问题。
SA is a stochastic optimization technique that has been used to solve continuous, order discrete and muti-modal optimization problems.
模拟退火算法是一种用于解决连续、有序离散和多模态优化问题的随机优化技术。
Evolutionary Programming (EP), a multi agent stochastic optimization technique, can lead to global optimal solutions for complex problems.
进化规划(EP)是一种随机优化技术，它可以发现全局最优解。
Particle swarm optimization (PSO) is a new stochastic optimization technique originating from artificial life and evolutionary computation.
粒子群优化(PSO)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。
Evolutionary algorithm called evolutionary algorithms is a kind of stochastic optimization methods by simulating natural evolutionary process.
进化算法也称演化算法，是一种模拟自然进化过程的随机优化方法。
The model test results of seismic wavelet estimation show that the method is more efficient than that only use stochastic optimization algorithm.
通过对地震记录子波估计的理论模型试验，结果表明这种混沌的优化算法比单一的随机优化方法具有很好的实际效果和应用前景。
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。
A multiresolution registration method using mutual information combined with a stochastic optimization technique is presented to solve these problems.
提出了一种结合互信息和随机优化技术的多分辨率配准方法。
Using the method of implicit stochastic optimization and comparing the concept of reservoir regulation function, the irrigation optimization function was proposed.
论文根据隐随机优化的特点，借鉴水库调度函数的定义方法，提出了灌溉优化函数的概念。
This article studies the value of the firm under the condition of stochastic future net cash flows, and builds up the stochastic optimization model of the firm value.
本文研究了净现金流为随机过程情况下的企业价值，并建立了企业价值的随机优化模型。
These situations are formulated as the module placement with pre-placed modules. For solving the problem, the methods used are usually stochastic optimization placement algorithm.
此类问题能被形式化为带有预放置模块的布局问题，关于此问题的求解方法多为随机优化方法。
This paper gives a simple classification of stochastic optimization problems, and then summarizes important algorithms for stochastic optimization in discrete and continuous parameters.
本文给出了随机型优化问题的分类，并综述了离散参数和连续参数随机型优化问题中典型的求解算法。
Aimed at the problem of selecting suitable parameters and operators for SA and GA, an OCBA based approach is proposed by formulating the considered problem as a stochastic optimization problem.
针对模拟退火和遗传算法的参数和操作选取问题，通过将其描述为随机优化问题，提出了基于OCBA的解决方法。
A hybrid algorithm is proposed by combining Particle Swarm optimization (PSO) algorithm with a stochastic optimization method, for solving the test suite minimization problem in regression test.
针对回归测试中测试用例最小化问题，将粒子群优化算法和随机算法相结合，提出一种二维随机粒子群优化算法，用来解决测试用例最小化的问题。
This paper mainly presents the method of solving inverse electromagnetic problems, the improvement of the stochastic optimization algorithm and the optimal designing of outer-rotor permanent motor.
本文讨论了电磁场逆问题的求解方法，系统地进行了随机类优化算法的改进研究以及轮毂式永磁电机优化设计的应用研究。
A novel ant colony optimization algorithm with random perturbation behavior (RPACO) based on combination of general ant colony optimization and stochastic mechanism is developed in this paper.
从随机优化技术出发，针对基本蚁群算法，提出了一种随机摄动蚁群优化算法。
The optimization of fuzzy stochastic systems is studied in this paper.
本文研究了模糊随机系统的模糊随机优化问题。
They are a kind of stochastic search iterative algorithm and no demand of optimization object.
它们均是一种随机搜索的迭代算法，对优化对象的性态无要求。
For the hydro optimization the best method is the stochastic dynamic programming.
对于水电系统随机动态规划是最好的优化方法。
This paper researches the application of the stochastic parallel gradient descent (SPGD) optimization algorithm on the beam cleanup system.
就随机并行梯度下降(SPGD)最优化算法在光束净化系统中的应用展开研究。
Simulated evolution and simulated annealing are two stochastic search algorithms for solving the global optimization problems. They have been widely used in different engineering areas.
模拟进化和模拟退火是解决全局优化问题的随机搜索技术，它们在工程领域有着广泛的应用。
In this article, Queuing theory and method is applied to modeling and optimization of a stochastic service system which consists of security equipments.
运用排队论的理论和方法对由机要保障装备构成的随机服务系统进行建模和优化。
From the viewpoint of decision-makers bounded rational, this paper discusses inventory optimization of integrated supply chain (isc) with fuzzy and stochastic demands.
从决策者的有限理性角度，研究了模糊随机需求环境下的集成供应链(ISC)库存优化问题。
Artificial fish swarm algorithm (AFSA) is a stochastic global optimization technique proposed lately.
人工鱼群算法(AFSA)是一种新型的群智能随机全局优化技术。
From the viewpoint of decision-makers' bounded rational, this paper discusses inventory optimization of integrated supply chain (isc) with fuzzy and stochastic demands.
从决策者的有限理性角度，研究了模糊随机需求环境下的集成供应链(ISC)库存优化问题。
They are stochastic search iterative algorithms and no demand of optimization object.
它们均是随机搜索的迭代算法，对优化对象的初始状态无要求。
They are stochastic search iterative algorithms and no demand of optimization object.
它们均是随机搜索的迭代算法，对优化对象的初始状态无要求。
应用推荐