Performance prediction using support vector machine for the configuration of optimization algorithms

The aim of this paper is to propose a machine learning approach for predicting the performance of each configuration of optimization algorithms. Our approach consists of advocating making the decision of finding the most suitable configuration on a per-instance analysis based on a supervised machine...

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Bibliographic Details

Published in:	CloudTech '17 : proceedings of 2017 International Conference of Cloud Computing Technologies and Applications pp. 1 - 7
Main Authors:	Afia, Abdellatif El, Sarhani, Malek
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2017
Subjects:	Algorithm design and analysis Feature extraction Machine learning algorithms Optimization Prediction algorithms Predictive models Support vector machines
Online Access:	Get full text
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