Cross-Entropy Approach for Computing a Pareto Fronts

被引：0
|
作者：
Sebaa, Karim [1 ]
机构：
[1] Univ Dr Yahia Fares, Lab Rech Electrotech & Automat, Quartier Ain Dhab 26000, Medea, Algeria
来源：
UKSIM-AMSS 15TH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION (UKSIM 2013) | 2013年
关键词：
NSCE-I; Cross-Entropy; Non dominated Sorting; Rare Event Simulation (RES); Pareto-optimal solutions;
D O I：
10.1109/UKSim.2013.117
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We propose in this paper an approach based on the cross-entropy method for computing Pareto Fronts. The approach is based on the cross-entropy approach for single-objective optimization. It is adapted to multi-objective optimization by defining a sorting criterion for selecting the best samples based on non-dominated sorting. The effectiveness of the approach is tested on several academic problems (e.g. Schaffer, Fonseca and Fleming). Its performances are compared with those of other multi-objective algorithm.
引用
收藏
页码：61 / 66
页数：6
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