1) refining-strategy
精化策略
2) policy refinement
策略求精
3) elite strategy
精英策略
1.
The genetic algorithm is combined with simulated annealing algorithm and several strategies such as local optimizing strategy,elite strategy and structure mutation strategy so that the structural search ability of the algorith.
所采用的遗传算法结合了模拟退火算法和爬山优化算法,同时引进精英策略和结构变异策略以增强算法的搜索能力。
2.
Furthermore, the elite strategy tha.
蚁群系统(ACS)是一个用来解决大规模多约束组合优化问题的现代启发式算法,根据序贯决策的特点设计了多层结构的蚁群系统,给出了算法的组成结构;为了节约计算内存和优化时间,详细阐述了淘汰劣质解机制的精英策略;并通过梯级水电站短期优化调度这一实际工程序贯决策问题,来验证所构造的算法,给出了优化调度的数学模型及算法的求解思路。
3.
In order to improve the algorithm s efficiency,elite strategy was introduced based on the standard GA.
在标准遗传算法的基础上,引入了精英策略以提高算法的搜索效率;在进化过程中加入了极小化操作,使得得到的结果都是极小碰集。
4) elitism approach
精英策略
1.
Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for the problems, (1) O(mN3)computational complexity (where m is the number of objectives and n is the population size), (2) non-elitism approach, and (3) the need for specifying a sharing parameter.
为克服非支配排序遗传算法计算复杂度高,未采用精英策略,需要特别指定共享半径的缺点,提出了一种改进的非支配排序遗传算法。
5) elitist strategy
精英策略
1.
First, genetic algorithm (GA) is improved with elitist strategy.
通过引入精英策略提出对遗传算法的改进,并为了能把遗传算法应用到集合划分问题,对数学模型进行了等价变换。
2.
Based on Joines\'s research,a hybrid genetic algorithm based on Elitist strategy and Adaptive genetic algorithm is proposed considering the effect of different amount of every part.
本文在其基础上考虑了每个零部件的需求量不同所带来的影响,提出了一种基于精英策略和自适应性的混合遗传算法。
3.
The M-elite coevolutionary algorithm (MECA) is proposed for high-dimensional unconstrained numerical optimization problems based on the concept of coevolutionary algorithm and elitist strategy.
为了解决高维无约束数值优化问题,借鉴协同进化和精英策略的思想,提出了M-精英协同进化算法。
6) Elistist strategy
精英策略
1.
This (EDPGA) adopts elistist strategy, tournament selection and restricted mating.
采用精英策略、联赛选择以及交配限制等方法,提高了DPGA算法的收敛性能和外部种群的多样性。
补充资料：差异化策略（Differentiation）
差异化策略（Differentiation）：包括产品品质、产品创新、产品特性、配销通路等差异化，建立公司独特性。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条