loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Juan J. Merelo 1 ; Federico Liberatore 1 ; Antonio Fernández Ares 1 ; Rubén García 1 ; Zeineb Chelly 2 ; Carlos Cotta 3 ; Nuria Rico 1 ; Antonio M. Mora 1 and Pablo García-Sánchez 1

Affiliations: 1 University of Granada, Spain ; 2 Institut Supérieur de Gestion, Spain ; 3 University of Málaga, Spain

ISBN: 978-989-758-157-1

Keyword(s): Games, Evolutionary Optimization, Noise, Uncertainty, Noisy Fitness.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: Noise or uncertainty appear in many optimization processes when there is not a single measure of optimality or fitness but a random variable representing it. These kind of problems have been known for a long time, but there has been no investigation of the statistical distribution those random variables follow, assuming in most cases that it is distributed normally and, thus, it can be modelled via an additive or multiplicative noise on top of a non-noisy fitness. In this paper we will look at several uncertain optimization problems that have been addressed by means of Evolutionary Algorithms and prove that there is no single statistical model the evaluations of the fitness functions follow, being different not only from one problem to the next, but in different phases of the optimization in a single problem.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 100.26.176.182

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Merelo, J.; Liberatore, F.; Fernández Ares, A.; García, R.; Chelly, Z.; Cotta, C.; Rico, N.; Mora, A. and García-Sánchez, P. (2015). There is Noisy Lunch: A Study of Noise in Evolutionary Optimization Problems.In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1 ECTA: ECTA, ISBN 978-989-758-157-1, pages 261-268. DOI: 10.5220/0005600702610268

@conference{ecta15,
author={Juan J. Merelo. and Federico Liberatore. and Antonio Fernández Ares. and Rubén García. and Zeineb Chelly. and Carlos Cotta. and Nuria Rico. and Antonio M. Mora. and Pablo García{-}Sánchez.},
title={There is Noisy Lunch: A Study of Noise in Evolutionary Optimization Problems},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1 ECTA: ECTA,},
year={2015},
pages={261-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005600702610268},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1 ECTA: ECTA,
TI - There is Noisy Lunch: A Study of Noise in Evolutionary Optimization Problems
SN - 978-989-758-157-1
AU - Merelo, J.
AU - Liberatore, F.
AU - Fernández Ares, A.
AU - García, R.
AU - Chelly, Z.
AU - Cotta, C.
AU - Rico, N.
AU - Mora, A.
AU - García-Sánchez, P.
PY - 2015
SP - 261
EP - 268
DO - 10.5220/0005600702610268

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.