1) Pareto subsets
Pareto子集
1.
Parallel routing precomputing is used to obtain the Pareto subsets which satisfy the multiple routing request constraints,and a proper route is selected from these subsets synthetically.
动态QoS路由是基于每个流计算的,为了优化动态QoSR请求中状态的时变性和控制滞后性,快速寻找满足多个约束的可行路径,提出一种基于QoS度量的Pareto子集并行路由预计算方法(QPAS)。
2) Pareto set
Pareto集
1.
Aiming at shortcomings in global searching capacity and diversified Pareto set existing in the traditional multi-objective particle swarm optimization algorithms,a multi-objective particle swarm optimization algorithm based on crowding distance sorting was proposed.
针对多目标粒子群算法在全局寻优能力和Pareto集多样性上的不足,提出基于拥挤距离排序的多目标粒子群算法。
2.
Based on the mathematical model of product family design,the Pareto set for the multiobjective optimization problem was obtained using NSGA-II.
根据产品族优化设计的数学模型,用NSGA-II算法求得多目标优化问题的Pareto集,并使用基于模糊集合理论的方法选择一个最优解。
3) Pareto solutions
Pareto解集
1.
A new kind of filter for Pareto solutions is presented.
通过设计一种Pareto解集过滤器,并在此基础上给出多目标优化条件下的微粒群算法群体停滞判断准则,基于该准则提出了一种多目标微粒群优化算法。
4) Pareto set
Pareto解集
1.
Multi-objective optimization method and its application based on Pareto sets;
基于Pareto解集的多目标优化方法及其应用
2.
Then,combining characteristics of disassembly line balancing problem,an improved multi-objective ant colony algorithm based on Pareto set was developed.
结合拆卸线平衡问题的具体特点,提出了一种改进的基于Pareto解集的多目标蚁群优化算法。
6) Pareto no-dominated set
Pareto非劣集
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