Hybrid Integration of Differential Evolution with Artificial Bee Colony for Global Optimization

Bui Ngoc Tam, Pham Ngoc Hieu, Hiroshi Hasegawa

2012

Abstract

In this paper, we investigate the hybridization of a swarm intelligence algorithm and an evolutionary algorithm, namely, the Artificial Bee Colony (ABC) algorithm and Differential Evolution (DE), to solve continuous optimization problems. This Hybrid Integration of DE and ABC (HIDEABC) technique is based on integrating the DE algorithm with the principle of ABC to improve the neighborhood search for each particle in ABC. The swarm intelligence of the ABC algorithm and the global information obtained by the DE population approach facilitate balanced exploration and exploitation using the HIDEABC algorithm. All algorithms were applied to five benchmark functions and were compared using several different metrics.

References

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Paper Citation


in Harvard Style

Ngoc Tam B., Ngoc Hieu P. and Hasegawa H. (2012). Hybrid Integration of Differential Evolution with Artificial Bee Colony for Global Optimization . In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 15-23. DOI: 10.5220/0004115100150023


in Bibtex Style

@conference{ecta12,
author={Bui Ngoc Tam and Pham Ngoc Hieu and Hiroshi Hasegawa},
title={Hybrid Integration of Differential Evolution with Artificial Bee Colony for Global Optimization},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012)},
year={2012},
pages={15-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004115100150023},
isbn={978-989-8565-33-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012)
TI - Hybrid Integration of Differential Evolution with Artificial Bee Colony for Global Optimization
SN - 978-989-8565-33-4
AU - Ngoc Tam B.
AU - Ngoc Hieu P.
AU - Hasegawa H.
PY - 2012
SP - 15
EP - 23
DO - 10.5220/0004115100150023