The proposed methodology is a three-step process: (1) multi-objective constrained optimization of a patient's data set, using Pareto-based elitist multi-objective evolutionary algorithms to maximize accuracy and minimize the complexity (number of rules) of classifiers, subject to interpretability constr...
Multi-Objective Evolutionary Algorithms (MOEAs) are powerful search techniques that have been extensively used to solve difficult problems in a wide variety of disciplines. However, they can be very demanding in terms of computational resources. Parallel implementations of MOEAs (pMOEAs) provide ...
多目标进化算法(Multi-Objective Evolutionary Algorithms,简称MOEAs)是一类用于解决多目标优化问题的进化算法。多目标优化问题(Multi-Objective Optimization Problems,简称MOPs)涉及多个目标函数,这些目标往往是相互冲突的,因此不可能同时达到最优。多目标优化的目的是找到一组“帕累托最优解”(Pareto optimal solutions),在...
Multi-objective evolutionary algorithms (MOEAs) are any of the paradigms of evolutionary computing (e.g., genetic algorithms, evolutionary strategies, etc.) used to solve problems requiring optimization of two or more potentially conflicting objectives, without resorting to the reduction of the objective...
Evolutionary algorithms have been studied and Proceedings of the 2001 IEEE Congress on Evolutionary Computation Seoul, Korea • May 27-30, 2001 0-7803-6657-3/01/$10.00 © 2001 IEEE 979 recognized to be well suited for MO optimization problems (Deb and Goldberg, 1989; Forrest et al.,...
Evolutionary techniques for multi-objective(MO) optimization are currently gainingsignificant attention from researchers invarious fields due to their effe
Evolutionary Algorithms for Multi-objective Optimization Problems with Interval Parameters Dun-wei Gong 1 , Na-na Qin 2 , Xiao-yan Sun 3 School of Information and Electrical Engineering, China University of Mining and Technology Xuzhou, Jiangsu 1 dwgong@vip.163 2 qinnana186@126 3 xysun78@126 ...
进化算法应用 多对象优化 Multi-Objective Optimization Using Evolutionary Algorithms 英文原版 Wiley 分享服务线下门店 · 收货后结算 选择 货源地;发货地 商品评价 暂无评价 该商品所属店铺评价 查看全部 正品(53) 质量很好(48) 物流很快(17) 坚固耐用(9) 包装很好(8) 很划算(7)...
We consider the usage of evolutionary algorithms for multiobjective programming (MOP), i.e. for decision problems with alternatives taken from a real-valued vector space and evaluated according to a vector-valued objective function. Selection mechanisms, possibilities of temporary fitness deterioration, ...
Many Multi-Objective Evolutionary Algorithms (MOEAs are proposed at present. 进化算法具有本质上并行、不需要求导或其他辅助知识、一次运行产生多个解和简单易于实现等优点,被视为求解多目标优化问题的有效方法,目前已经形成了各种不同的多目标进化算法(MOEA)。