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1)  S k optimal solution
S_k最优解
2)  optimal solution
最优解
1.
The realization of the simplified optimal solution algorithms:——An Analysis of program design of class division in Higher Institutions;
简化的最优解算法实现——高校分班程序设计分析
2.
Necessary and sufficient condition for the global optimal solutions of nonlinear programming and its algorithm models;
非线性规划问题的全局最优解的充要条件及其算法模型
3.
Further discussion on the existence of optimal solution and the sensitivity analysis for C~2R model;
再论C~2R模型的最优解的存在性及灵敏度分析
3)  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。
4)  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。
5)  optimum solution
最优解
1.
The global optimum solution of concave radius and its tolerance can be obtained by the genetic calculation, and a calculating example is presented.
采用算术交叉算子建立了冲头凹面圆弧半径的目标函数和FAG数学模型 ,通过遗传算法获得了圆弧半径及公差的全局最优解 ,并给出了计算实
2.
A decision analysis for one residential community based on the mathematic model of the multi-objective linear programming is established and then its optimum solution can be calculated by MATLAB software.
从房地产的特点和住宅房地产的功能分析入手,考虑房地产开发的风险估计,依据多目标线性规划的数学模型对某住宅小区的案例进行了决策分析,得到了最优解,为设计方案和布局提供有价值的参考,并为住宅房地产开发决策的最优解作了系统的总结。
3.
A strategy based on genetic algorithm was presented and its coding method and parameter setting and the solution process were studied with an optimum solution given to the model.
分析了Agent的性能特点及其工作原理,研究了谈判收益问题;然后对谈判过程进行描述,建立了基于Agent自动谈判数学模型,并对模型中的参数以及自动谈判目标进行分析;提出了用遗传算法对模型进行求解,并对算法的编码方法、参数的设定等进行研究,分析了求解过程,得到了模型的最优解。
6)  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。
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