优化问题

The significant solution with the maximum approximative degree is the optimal solution to the multi-objective problem.

因此，采用普通优化方法求解很困难，而模糊数学对研究多目标优化问题恰好是有效的。

This is a new research direction of nonlinear global optimization methods.

该方法收敛速度快，优化结果不依赖初始解的选取，是对非线性全局优化问题的一个新探索。

Simulation optimization is a hot and new topic in the fields of system simulation,operational research and so on.

仿真优化研究基于仿真的目标优化问题，已经成为系统仿真和运筹学等领域共同关注的热点和前沿课题。

A support vector regression model based on batch to batch optimal control strategy was proposed.

针对间歇过程的优化问题，提出了一种基于支持向量回归模型的批次到批次的优化控制策略。

In view of the problem of parametric optimization in a nonlinear control system,this paper presents a new simulating method of optimization to be combined with the theory of a nonlinear control system,optimization theory and genetic algorithm.

摘 要］本文针对非线性控制系统参数优化问题，结合非线性控制系统理论、最优化理论及遗传算法，提出了一种新的仿真优化方法。

The Optimization of pinacoid flow passage, which cant be realized by single parameterized technology, is figured out with behavioral modeling. By establishing the optimal characteristics, the complex and repetitive process of impeller design is turned into an automatic one.

利用行为建模技术解决了单一参数化技术无法解决的轴面流道的优化问题，将叶轮设计的大量重复、费时费力的一个复杂设计过程，通过优化特征的建立，变成了一个自动化的过程。

The method can solve the equilibrium optimization problem and the results are more proximate to the practical situation.

解决了生产调度均衡优化问题，使得生产调度的优化结果更为贴近实际。

Based on the concept of subenergy transformation and terminal repeller in Terminal Repeller Unconstrained Subenergy Tunneling algorithm, a new global optimization algorithm, called Random Tunneling Algorithm , was proposed.

对PFAEA算法的性能分析表明，算法的时间复杂度与原子个数N呈立方增长关系，效率高于在团簇优化研究中较成功的Basin-Hopping算法，为解决大规模团簇体系或分子体系结构优化问题提供了有力工具。

Based on the proposed algorithm, this paper lays emphasis on the efficient hardware implementation of particle filters on FPGA platform, and presents the hardware architecture of the resample/sample unit and the whole system.

在算法研究的基础上，论文研究了基于FGPA的硬件电路实现方法，给出了系统的整体硬件结构及重采样/采样模块的实现方案，讨论了粒子滤波硬件实现的资源优化及时间优化问题。

A Multi-Objective Vaccine Co-evolution Clonal Selection Algorithm has been proposed to solve the sequencing problem of MMAL. Vaccine population and antibody population have come up.

针对混流装配线多目标调度优化问题，提出了一种疫苗协同进化的多目标免疫克隆选择优化算法。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。