DESIGN OF A NOVEL HYBRID OPTIMIZATION ALGORITHM

Dimitris V. Koulocheris, Vasilis K. Dertimanis

2009

Abstract

The interrelation of stochastic and deterministic optimization algorithms, as well as the exploitation of the advantages that each counterpart presents simultaneously, is studied in this paper. To this, a hybrid optimization algorithm is developed, which consists of a conventional Evolution Strategy that maintains its recombination and selection phases unaltered, while its mutation operator is replaced by well–known deterministic methods, such as line–search and/or trust–region. The alteration results in superior performance of the novel algorithm, compared to other instances of Evolutionary Algorithms, as exploited out in tests using Griewangk and Rastrigin functions. The proposed algorithm is further examined through its implementation to the structural optimization problem of a full–car suspension model, with satisfying results.

Paper Citation

in Harvard Style

V. Koulocheris D. and K. Dertimanis V. (2009). DESIGN OF A NOVEL HYBRID OPTIMIZATION ALGORITHM . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-99-9, pages 129-135. DOI: 10.5220/0002166501290135

in Bibtex Style

@conference{icinco09,
author={Dimitris V. Koulocheris and Vasilis K. Dertimanis},
title={DESIGN OF A NOVEL HYBRID OPTIMIZATION ALGORITHM},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2009},
pages={129-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002166501290135},
isbn={978-989-8111-99-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - DESIGN OF A NOVEL HYBRID OPTIMIZATION ALGORITHM
SN - 978-989-8111-99-9
AU - V. Koulocheris D.
AU - K. Dertimanis V.
PY - 2009
SP - 129
EP - 135
DO - 10.5220/0002166501290135