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 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。
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。
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。
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。
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。
The gradient optimization algorithm based on the stochastic finite element was adopted to analyze the reliability of the frame with stochastic parameters.
基于随机有限元的梯度优化算法引入拥有随机参数的框架可靠度分析。
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。
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。
Ant colony system is a novel emerged stochastic searching optimization algorithm in recent years.
蚁群算法是近年来新出现的一种随机搜索寻优算法。
Fifthly, optimization model and its algorithm for large-scale stochastic transportation network are studied.
第五，大规模随机运输网络优化建模及算法。
Desgined a mixed intelligent arithmetic by using the technique of combing the stochastic simulation with fuzzy simulation and particle swarm optimization algorithm to solve this kind of problems.
基于粒子群算法运用随机模拟和模糊模拟相结合的技术，给出了一种求解该规划模型的混合智能算法。
Then by utilizing the features of this model an online optimization algorithm that combines policy gradient estimation and stochastic approximation is derived.
然后利用这种模式的特点，在线优化算法相结合的策略梯度估计及随机逼近而得。
Ant algorithm is a newly emerged stochastic searching optimization algorithm in recent years.
蚂蚁算法是一种新兴的随机搜索优化算法在近几年。
A fast stochastic global optimization algorithm, particle group optimization algorithm, was used for training the fuzzy neural network.
模糊神经网络的学习算法采用的是快速的粒子群优化算法。
Thirdly, frequency-domain model of stochastic transportation network optimization and its algorithm with some constrained conditions are studied.
通过算例分析验证了所给出的模型及其优化算法的有效性。
Given the stochastic and ergodic characteristics of fuzzy variables, a chaos optimization algorithm is introduced to solve the planning problem.
结合混沌变量的随机遍历特性，将混沌优化算法应用于输电网非线性混合整数规划模型的优化求解。
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。
Artificial ant algorithm is a novel simulated evolutionary algorithm, also a newly stochastic and intellectual searching optimization.
人工蚁群算法是一种新型的模拟进化算法，也是一种随机型智能搜索寻优算法。
The particle swarm optimization algorithm and the Ant Colony Optimization are employed to develop a hybrid stochastic searching algorithm.
最后将粒子群算法和禁忌搜索算法思想引入到蚁群算法中，用于求解拉闸限电序位优化问题。
Immune algorithm is a stochastic heuristic optimization algorithm.
免疫算法是一种新型的随机启发式搜索算法。
Immune algorithm is a stochastic heuristic optimization algorithm.
免疫算法是一种新型的随机启发式搜索算法。
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