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1)  Pareto optimality
Pareto最优性
1.
This paper briefly describes Pareto optimality in multiobjective optimization, investigates a kind of fast Pareto genetic algorithms (FPGA) searching Pareto optima of multiobjective 0/1 knapsack problems.
扼要介绍多目标优化的Pareto最优性概念 ,研究搜索多目标 0 1背包问题Pareto最优解集的快速遗传算法 (FPGA :fastParetogeneticalgorithms) 。
2.
As a result, equivalent relations are established between concepts like non - arbitrage and market equilibrium and Pareto optimality under proper conditions.
在一定的条件下,建立了无套利、市场均衡及Pareto最优性等概念之间的等价关系。
2)  Pareto-optimal solution
Pareto最优解
1.
Results indicate that this method can obtain uniformly distributed Pareto-optimal solutions.
结果表明:该算法求得的Pareto最优解分布均匀、收敛速度快、寻优能力强,决策者可根据不同的侧重点在Pareto解集中选择最终的满意解。
2.
The numerical experiments show that this algorithm can find more and wider Pareto-optimal solutions than the original one.
数值实验表明该混合遗传算法能求得问题的数量更多、分布更广的Pareto最优解。
3.
Aim It is desirable to find more Pareto-optimal solutions which scattered uniformly over Pareto-front in solving multiobjective programming.
结论 该方法能够找到问题的分布较均匀的Pareto最优解。
3)  Pareto optimal solution
Pareto最优解
1.
The optimal equilibrium solutions set is a connected convex set consisting of the Pareto optimal solutions in a certain convex condition.
在某种凸性条件下最优均衡解集是Pareto最优解的凸本质连通区域。
2.
This is a multi-objective optimization problem, so a set of Pareto optimal solutions have to be sought.
这是一个多目标优化问题,需要寻求一组Pareto最优解,应用多目标进化算法求解该问题可以得到多种满足条件的PMU配置可行方案。
3.
Thus how to find a sufficient number of uniformly distributed and representative Pareto optimal solutions under the condition of the continuously changing time for the decision maker is very important.
在动态多目标优化中,各目标通常相互冲突,其最优解往往有无穷多个,如何在时间连续发生变化的情况下依然能求出分布均匀且数量多的Pareto最优解供决策者选择十分重要。
4)  Pareto optimum
Pareto最优
1.
To solve the problem of ignored product quality in cost-tolerance model,a multi-objective model of tolerance design was presented,which was based on Taguchi's quality view and the conception of Pareto optimum set.
为解决成本—公差设计模型中忽视产品质量的问题,以新型的田口质量观和Pareto最优解集概念为基础,提出了一种公差设计多目标模型。
2.
The relationship between general equilibrium and the pareto optimum in private ownership economy system is discussed with the method of constructing mathematic model and proved with the method of the first and second welfare theorems of private ownership economy.
用构建数学模型的方法探讨了私有制经济系统中一般均衡和pareto最优的关系,并以私有制经济第一、第二福利定理的形式对其进行了证明。
3.
With the help of the gaming analysis and based on the small-world optimization algorithm,it tries to find a QoS unicast path with the Pareto optimum under the Nash equilibrium on both the network provider utility and the user utility achieved or approached.
设计一种ABC支持型QoS单播路由机制,采用区间形式描述用户QoS需求和边(链路)参数,引入用户满意度和边评价,通过博弈分析,基于小世界优化算法寻找使用户和网络提供方效用达到或接近Nash均衡下Pareto最优的QoS单播路径。
5)  Pareto-optimal solutions
Pareto最优解
1.
It can obtain uniformly distributed Pareto-optimal solutions and has good convergence and excellent robustness.
带精英策略的快速非支配排序遗传算法(NSGA-Ⅱ)是一种新型的多目标遗传算法,该算法求得的Pareto最优解分布均匀,收敛性和鲁棒性好。
2.
A specially tailored Pareto genetic algorithm for the LEO infrared constellation design problem is proposed as a methodology to find the Pareto-optimal solutions other than the conventional optimization algorithm with selecting weights of different objectives.
针对传统的基于权值选择的多目标优化方法无法同时得到多个Pareto最优解的缺点,使用了一种Pareto遗传算法以进行星座设计。
6)  pareto optimality
Pareto最优
补充资料:连续性与非连续性(见间断性与不间断性)


连续性与非连续性(见间断性与不间断性)
continuity and discontinuity

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说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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