1) elitist NSGA-Ⅱ
非劣前沿分级
1.
In order to seek the only best answer for Multi-objective job-shop scheduling,optimization strategy and realization method are presented based on the elitist NSGA-Ⅱ.
研究了带精英策略的非劣前沿分级遗传算法,优化了算法终止条件。
2) non-dominated sorting
非劣分层
1.
It contained non-dominated sorting method,elitist strategy and swarm intelligence idea.
借鉴非劣分层方法、精英策略和群智思想,建立混合优化算法,通过该算法及惩罚函数寻优,设定生产过程中操作变量的最优参数,采用实际工业生产数据仿真和验证,建立周期性的两级优化结构来实现优化控制。
2.
The non-dominated sorting in genetic algorithms(NSGA) has some deficiencies such as the poor local search and premature convergence.
针对非劣分层多目标遗传(NSGA)本身所存在的局部搜索能力和易早熟的问题,鉴于模拟退火算法的局部搜索能力强和在解决易早熟问题上的优势,提出了加入局部搜索的多目标遗传算法及适用于多目标优化的模拟退火局部搜索算法和跳转准则,即在NSGA的每一代个体中的1层、2层非劣解附近进行模拟退火局部搜索。
3) frontal analysis
前沿分析
1.
High-performance capillary electrophoresis /frontal analysis and its Application to the protein binding study of chiral drugs;
高效毛细管电泳/前沿分析及其在手性药性药物-蛋白结合研究中的应用
2.
The adsorption of caffeine onto C18 bonded silica was measured by staircase frontal analysis.
运用前沿分析法测定了咖啡因在反相液相色谱固定相上的吸附等温线,并对单位点和多位点Langmuir吸附等温式式运用Origin软件进行了非线性拟合。
3.
A capillary electrophoresis/frontal analysis (CE/FA) method has been applied to study the interaction parameter of potassium ion with 18-crown-6.
采用毛细管电泳前沿分析 (CE FA)法 ,利用间接紫外检测方法 ,在pH为 5 。
5) non-dominated front
非支配前沿
1.
To improve its bi-objective optimization efficiency,in this paper,a layering strategy according to need is adopted and so a new algorithm to construct the set of non-dominated fronts is proposed to replace the original method of NSGA-Ⅱ.
为了进一步改进NSGA-Ⅱ在双目标优化时的效率,采取了按需分层的策略,提出了一种新的非支配前沿集分层方法以替代NSGA-II原有的分层方法。
补充资料：驳驳劣劣
1.莽戆。
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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