查询词典 combinatorial optimization problem

A class of bilevel multi-objective programming was converted into the problem of equivalent single-level multi-objective programming. Then a new chaos genetic optimization algorithm was presented by using the inversion property of genetic algorithm and the ergodic property of chaos optimization method and combining with the exact l_1 penalty function.

针对求解一类二层多目标规划问题，首先将其转化为等价的单目标规划问题，然后利用遗传算法优化的反演性和混沌优化方法的遍历性，并结合精确罚函数求解非线性约束优化问题，提出了求解此类问题的混沌遗传算法。

The DFP method is proved a officient one in processing unconstrainted optimization problem, so in this thesis, used the idea of mechanical structural optimization for reference analytically and extended modified formula of DFP—matrix to shape optimiation the DFP—Hamilton function method is put forward.

由于变尺度方法是有效的无约束优化方法，本文在分析的基础上借鉴了机械结构参数优化的思想，并将变尺度矩阵的修正公式扩展至形状优化中去，进而提出了变尺度—H函数极值法，并用其解决了梁、柱和复杂曲面的形状优化设计问题，取得了较好的效果。

Multiobjective optimization problem has a wide range of applications in the real world. It is different from the single objective optimization. It often involves incommensurable and competing objectives, and the number of its Pareto optimal solutions is usually infinite. Therefore, it is very important to design new algorithms which can find well distributed and close-to-Pareto-optimal solutions.

在现实世界中很多问题都是多目标优化问题，不同于单目标优化，在多目标优化中，各目标之间是互相冲突的，其最优解往往有无穷多个，如何使得到的Pareto最优曲面距离真正的Pareto最优曲面最近、最优解的分布均匀且范围更广是求解多目标优化问题的关键。

The high speed advantage of FPGA's operation is made hard to demonstrate for the inconsequence in structural arrangement. The pipeline technology had well solved this problem. We presents a new pipeline optimization technology of inventer's control system based on FPGA,and completed the optimization design of the inventer controller. Analyzed the design process in detail and offered a kind of thought for the people who devoted to FPGA's application in power electronic field.

分析了"流水线操作"等设计优化问题，并针对逆变器控制系统中，控制系统算法呈多层结构，且层与层之间还有数据流联系，其执行顺序和数据流的走向较为复杂，不利于直接采用流水线技术进行设计的特点，提出一种全新的"分层多级流水线"设计技术，有效地解决了复杂控制系统的流水线优化设计问题。

Modifications to the conventional layer by layer optimization method make it possible to avoid computing Hessian Matrix and its inverse form, thus it can decrease computational complexity dramatically. Simulation results for some practical problems such as function approximation and XOR problem, have demonstrated improvements over classical back-propagation algorithm and conventional layer by layer optimization algorithm.

本文在传统逐层优化算法上的改进避免了反复计算 Hessian 矩阵及其逆矩阵，因而可以减少计算量，对一些应用问题，如函数逼近、异或等问题的仿真实验证实了新的算法比经典的 BP 算法以及现存的逐层优化算法的训练速度更快、可靠性更好。

Under analysis the principle of the ant colony optimization, an improved ant colony optimization in solving the seismic data inversion problem is proposed.

蚁群算法具有正反馈性、分布式计算和贪婪式启发搜索的特点，克服了传统优化算法的缺陷。

For improving convergence, this paper firstly introduces Lagrange function to solve constraint problem in large-scale system optimization, secondly constructs the hierarchical optimization networks for large-scale industrial systems with Hopfield network.

为了 提高算法的收敛速度，引入Lagrange函数解决大系统优化问题中的各种约束，并用Hopfield 网络实现了大系统稳态递阶优化的网络算法，最后给出了某一大系统辨识及优化的仿真结果。

This paper presents an efficient optimization algorithm and complicated code for Airciraft Landing Scheduling Problem,Based on Depth-first-search implicit emumeration algorithm,subject to MPS limiting,position lock limiting and optimization depth limiting.

以深度优先搜索的隐枚举算法为基础，结合 MPS约束、位置冻结限制、优化深度限制，使用复杂的软件编码实现了特定于飞机着陆调度问题的优化排序算法。

The third chapter constructs a derivative-free optimization method for linear equality constrained optimization problem and gives the proofs of the global convergence.

第三章提出了线性等式约束最优化问题的非单调无导数优化算法，并证明了这种算法的全局收敛性。

The traditional training methods of Gaussian Mixture Model are sensitive to the initial model parameters, which often leads to a local optimal parameter in practice. To resolve this problem, a new GMM optimization method was proposed based on Particle Swarm Optimization.

为了解决传统高斯混合模型对初值敏感，在实际训练中极易得到局部最优参数的问题，提出了一种采用微粒群算法优化GMM参数的新方法。

Now he worked in ajoint venture.

现在他在一家合资企业工作。

More troops in Afghanistan won't change any of the foregoing.

更多的在阿富汗的军队也不会改变之前的状况。