loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: S. K. Smit ; A. E. Eiben and Z. Szlávik

Affiliation: VU University Amsterdam, Netherlands

ISBN: 978-989-8425-31-7

Keyword(s): Parameters, Evolutionary algorithms, Multi-function tuning, Parameter tuning.

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: In this paper, we demonstrate the benefits of using a multi-objective approach when tuning the parameters of an Evolutionary Algorithm. To overcome the specific challenges that arise when using a meta-algorithm for parameter tuning on multiple functions, we introduce a new algorithm called the Multi-Function Evolutionary Tuning Algorithm (M-FETA) that is able to approximate the parameter Pareto front effectively. The results of the experiments illustrate how the approximated Parameter Pareto front can be used to gain insights, identify ‘generalists’, and study the robustness of the algorithm to be tuned.

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 3.233.226.151

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:
K. Smit, S.; E. Eiben, A. and Szlávik, Z. (2010). AN MOEA-BASED METHOD TO TUNE EA PARAMETERS ON MULTIPLE OBJECTIVE FUNCTIONS.In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010) ISBN 978-989-8425-31-7, pages 261-268. DOI: 10.5220/0003106202610268

@conference{icec10,
author={S. K. Smit. and A. E. Eiben. and Z. Szlávik.},
title={AN MOEA-BASED METHOD TO TUNE EA PARAMETERS ON MULTIPLE OBJECTIVE FUNCTIONS},
booktitle={Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)},
year={2010},
pages={261-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003106202610268},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)
TI - AN MOEA-BASED METHOD TO TUNE EA PARAMETERS ON MULTIPLE OBJECTIVE FUNCTIONS
SN - 978-989-8425-31-7
AU - K. Smit, S.
AU - E. Eiben, A.
AU - Szlávik, Z.
PY - 2010
SP - 261
EP - 268
DO - 10.5220/0003106202610268

Login or register to post comments.

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