Study of Inheritance and Approximation Techniques for Adaptive Multi-objective Particle Swarm Optimization

Ibtissem Bouoni, Nadia Smairi, Kamel Zidi

2015

Abstract

In this paper, we propose to introduce inheritance and approximation techniques for the evaluation of the objective function. The main idea of the approaches is to reduce MO-TRIBES complexity. Besides, in our study, we incorporate at the beginning, an inheritance technique then an approximation technique (Approximation 1: to consider the whole swarm, Approximation 2: to consider the tribe) at the evaluation of the objective function. We conducted in our experiments eleven well-known multi-objective test functions. The results showed a good behavior of our propositions on most tested functions. Moreover, TRIBES-inheritance provided the best compared to MO-TRIBES, we concluded that MO-TRIBES with inheritance give the best time than MO-TRIBES and MO-TRIBES with approximation. It also kept the same performances with MO-TRIBES with a simple improvement for several functions.

References

1. Becerra, R, L., Quintero, L., V., S., Coello, C., A., C., 2008. Knowledge Incorporation in Multi-objective Evolutionary Algorithms, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases Studies in Computational Intelligence, Volume 98, 23-46.

Paper Citation

in Harvard Style

Bouoni I., Smairi N. and Zidi K. (2015). Study of Inheritance and Approximation Techniques for Adaptive Multi-objective Particle Swarm Optimization . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-122-9, pages 146-154. DOI: 10.5220/0005529901460154

in Bibtex Style

@conference{icinco15,
author={Ibtissem Bouoni and Nadia Smairi and Kamel Zidi},
title={Study of Inheritance and Approximation Techniques for Adaptive Multi-objective Particle Swarm Optimization},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2015},
pages={146-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005529901460154},
isbn={978-989-758-122-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Study of Inheritance and Approximation Techniques for Adaptive Multi-objective Particle Swarm Optimization
SN - 978-989-758-122-9
AU - Bouoni I.
AU - Smairi N.
AU - Zidi K.
PY - 2015
SP - 146
EP - 154
DO - 10.5220/0005529901460154