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。
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。
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。
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。
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。
A stochastic global optimization method based on direct search is introduced to solve the global optimal solution of the problem, and the process is also discussed in detail.
将基于直接搜索法的随机全局优化方法用于求解该问题的全局最优解，给出了具体的算法步骤。
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 dynamical optimization design of mechanical system exited by nonstationary stochastic loads is very important for the mechanical system to have a fine performance during working.
非平稳随机激励的机械系统动态优化设计对于使承受随机激励荷载的系统具备优良的性能有着特殊的意义。
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。
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。
Particle swarm optimizers are a simple stochastic glob al optimization technique.
粒子群优化算法是一类简单有效的随机全局优化技术。
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。
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。
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。
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。
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。
The comprehensive optimization problem of transit operations with stochastic OD demands is studied by using a chance-constrained programming method.
运用机会约束规划方法，研究随机需求条件下公交运营设计的优化问题。
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。
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。
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。
Based on stochastic programming, a multi objective chance constrained optimization model is developed for an illustrative coal blending problem.
在随机规划学的基础上，建立了电厂优化配煤的多目标机会约束数学模型。
Second, grounded on SADP, parameter dynamic optimization and computation are studied in detail for a deterministic PSO feedback system and a stochastic PSO system, respectively.
基于该模式给出简化的确定型微粒群反馈控制系统参数优化的近似计算方法，并扩展应用于具有随机变量的微粒群系统；
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 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。
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。
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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