| 1. | Provides seven optimization algorithms , three of which are global
提供七种最优化算法,三种是全局优化 |
| 2. | A near - optimal optimization algorithm for link assignment in wireless ad - hoc networks
无线自主网中的链路分配最优化算法 |
| 3. | This paper discusses inventory control problems in a two - echelon supply chain for the deterministic demand by taking account into a multi - criteria problem
摘要介绍了需求确定的情况下两级供应链库存控制的一种交互协作的最优化算法。 |
| 4. | He holds a phd in theoretical physics from the technical university of chemnitz , germany , where he investigated stochastic optimization algorithms on parallel computers
他从德国chemnitz技术大学获得理论物理博士学位，在大学里他研究了并行计算机上的随即最优化算法。 |
| 5. | The methods which convergence order is greater than 2 are named as high - order methods . the improved method of tangent hyperbolas ( imth method ) is a popular method among the high - - order methods
在科学计算及其应用领域中， improvedmethodoftangenthyperbolas方法(简称为imth方法)是常用的三阶最优化算法。 |
| 6. | The studies are mainly connected with the parameter and characteristic of chaotic vibration , the application of chaotic maximum optimization arithmetic , and chaotic optimization neural network in engineering structure
重点研究了工程结构中混沌振动特性、混沌最优化算法在工程结构优化中的应用、以及混沌优化神经网络技术。主要内容如下： 1 |
| 7. | In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically , randomized methods rely on stochastic processes and random number / vector generation as part of the algorithm and / or its analysis
传统的最优化算法中迭代的计算和分析是确定的，与之相比，随机方法依靠随机过程和随机数字/向量的生成作为算法和（或）算法分析的一部分。 |
| 8. | Fourthly , based on excellent parameter of chaotic maximum optimization algorithms , the new chaotic optimization arithmetic is put forward , specifically several carrier chaotic optimization method . this method is applied in the optimization design of engineering structure
在对混沌最优化算法参数优选的基础上，提出了一种新的混沌最优化算法?多次载波混沌最优化方法，并将此算法用于工程结构优化设计中。 |
| 9. | In this method , the principal axes method is used to estimate the parameters of the transformation , then with the estimated pamameters as the initialization of powell optimization method and with all of the available information as the feature , a high accurate registration is achieved by calculating the minimum standard deviation between the registered images
该方法首先采用主轴法对变换参数进行初步估计，之后采用powell最优化算法，利用全图像灰度信息来作为图像的参考特征，通过计算配准图像之间差的平方和的极值来实现图像配准，从而提高了配准精度。 |
| 10. | Having developed for half an century , the conventional optimization algorithms which are based on the operational research theory and some mathematical programming tools come into mature . such algorithms have been widely used in many fields due to their high efficiency and robustness . however , they usually require the optimized functions to be continuous even high order differentiable
这些在运筹学( operationalresearch )和数学规划工具( mathematicalprogramming )基础上形成的最优化算法，具有理论完备、算法效率高、稳定性好等优点，因而在许多需要进行优化计算的场合被广泛的使用。 |
