IMPROVING THE PERFORMANCE OF CODEQ USING QUADRATIC INTERPOLATION

Mahamed G. H. Omran, Ayed Salman

2010

Abstract

CODEQ is a new, population-based meta-heuristic algorithm that is a hybrid of concepts from chaotic search, opposition-based learning, differential evolution and quantum mechanics. CODEQ has successfully been used to solve different types of problems (e.g. constrained, integer-programming, engineering) with excellent results. In this paper, a new mutated vector based on quadratic interpolation (QI) is incorporated into CODEQ. The proposed method is compared with the original CODEQ and a differential evolution variant the uses QI on eleven benchmark functions. The results show that using QI improves both the efficiency and effectiveness of CODEQ.

Paper Citation

in Harvard Style

G. H. Omran M. and Salman A. (2010). IMPROVING THE PERFORMANCE OF CODEQ USING QUADRATIC INTERPOLATION . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 265-270. DOI: 10.5220/0002721702650270

in Bibtex Style

@conference{icaart10,
author={Mahamed G. H. Omran and Ayed Salman},
title={IMPROVING THE PERFORMANCE OF CODEQ USING QUADRATIC INTERPOLATION},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={265-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002721702650270},
isbn={978-989-674-021-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - IMPROVING THE PERFORMANCE OF CODEQ USING QUADRATIC INTERPOLATION
SN - 978-989-674-021-4
AU - G. H. Omran M.
AU - Salman A.
PY - 2010
SP - 265
EP - 270
DO - 10.5220/0002721702650270