查询词典 multiobjective

For designing modern gyroplane with jump takeoff capability, the characteristics of thrust/lift system parameters are investigated, and a multiobjective optimization method is presented.

对自转旋翼飞行器推/升力系统参数进行了特性分析和多目标优化设计，解决了具有跳飞性能的现代旋翼机总体方案和系统设计难题。

This paper study the connectedness of the set of cone efficient solution s for cone quasiconvex multiobjective programming in locally convex Hausdorff topological vector space.

本文研究局部凸的Hausdorff拓扑向量空间中锥拟凸多目标规划锥有效解集的连通性问题。

Using fuzzy sets,multiobjective decision making methods and optimization techniques,this thesis systematically studies theoretical models,methods and applications of some key problems for simulation systems of electronic countermeasures,such as jam resource allocation,radiant imperilment comprehensive evaluation,and obtains a lot of original results.

本文利用模糊集理论、多目标决策方法与优化技术对电子对抗仿真系统中的干扰资源分配、辐射源威胁综合评价等若干关键问题的理论模型、方法与应用进行了深入的研究，取得了一系列创新性成果。

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。

Optimal algorithm of combined nonlinear Hopfield network appears powerful validity in solving nonlinear planning, which includes nonlinear objective function, linear constrains and high-demension of decision-making variants, for its ability of nonlinear parallel computation. It is prominent among optimal algorithms because of its function of simply implement with electrocircuit hardware. Genetic algorithm is expressly suitable for optimal calculation regarding the planning of massive, highly nonlinear, inconsecutively differentiable and multiobjective function as well as objective function without analytical expression. However, it inclines to prematurity, as well as its limitation in ability of partial optimal search. Introducing the optimal algorithm of niche genetic simulated annealing to standard Genetic algorithm, can therefore improve the full-scale or partial search ability of Genetic algorithm effectively. It has a far-flung perspective in the field of systemic planning of water pollution control.

组合式非线性Hopfield网络优化算法所具有的非线性大规模并行计算能力在求解具有非线性目标函数、线性约束条件及高维决策变量的非线性规划问题方面显示出了强大的生命力，它易于电路硬件实现的功能更是在优化算法中独树一帜；遗传算法采用概率搜索技术，不受目标函数与约束条件的限制，特别适合大规模、高度非线性的不连续可微的多峰目标函数及无解析表达式的目标函数的规划问题的优化计算，但其存在容易早熟、局部寻优能力较差等缺点，本文在标准遗传算法中引入小生境技术及模拟退火算法有效地改善遗传算法的全局和局部搜索性能，提高了全局最优解的寻优质量，小生境遗传退火模拟优化算法在水污染控制系统规划中的应用前景极为广阔。

By extending the concepts of supremum and infimum in real space to the casein any finite-dimensional Euclidean space a weak supremum set and infimumset theory with respect to cones for the set in finite-dimensional Euclideanspace is developed,and several similar properties to the set in real space are ob-tained,with the concepts of this weak supremumset,w-D-conjugate maps and w-D-subdifferentials theory for the point-to-setmap are developed,and its several properties and its relationships with weakefficient solutions of the multiobjective programming are studied.

推广实空间中上、下确界的概念至任意有限维欧氏空间，建立了有限维欧氏空间中集合的锥弱上、下确界集理论，得到了与实空间中十分相似的性质。借助于这一理论，应用上、下确界的概念，给出了点集映象的w-D-共轭映象及w-D-次微分理论，并研究了它们的若干特性及其与弱有效解之间的关系，此外还讨论了弱鞍点问题。

A model of intuitionistic fuzzy multiobjective programming based on genetic algorithm is presented.

提出了一种基于遗传算法的直觉模糊多目标规划模型。

In this thesis, we mainly study the theory of vector optimization in three aspects: the spectral scalarization of Euclidean Jordan algebra vector optimization, the robust methods for solving uncertain multiobjective linear optimization problem and the application in game theory.

本文共分四章，主要致力于向量优化三个方面的研究：欧几里德若当代数向量优化的谱标量化、不确定多目标线性优化问题的鲁棒方法和向量优化在对策论中的应用。

Lexicographic Method for Fuzzy Multiobjective Optimization of Structures is presented in this paper.

提出了多目标结构模糊优化的分层序列法，首先把原多目标模糊优化问题分解为一系列单目标模糊优化子问题，该子问题用最大最小法求解。

In Chapter 3, we consider the uncertain multiobjective linear optimization problem.

第三章考虑了不确定信息的多目标线性优化问题。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。