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

页码：61 / 66

页数：6

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