# Modified Krill Herd Optimization Algorithm using Focus Group Idea

### Mahdi Bidar, Edris Fattahi, Malek Mouhoub, Hamidreza Rashidy Kanan

#### Abstract

Krill Herd algorithm is one of most recently developed nature-inspired optimization algorithms which is inspired by herding behavior of krill individuals. In order to improve the performance of this algorithm to deal more effectively with high dimensional numerical functions, we propose a new method, called Focus Group idea to modify the solutions found by searching agents in group cooperation. In order to evaluate the effect of the proposed method on the performance of the Krill Herd algorithm, we conducted experiments on a set standard benchmark functions. The obtained results demonstrate the ability of the proposed method to improve the performance of the Krill Herd optimization algorithm.

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#### Paper Citation

#### in Harvard Style

Bidar M., Fattahi E., Mouhoub M. and Rashidy Kanan H. (2017). **Modified Krill Herd Optimization Algorithm using Focus Group Idea** . In *Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,* ISBN 978-989-758-220-2, pages 465-472. DOI: 10.5220/0006187904650472

#### in Bibtex Style

@conference{icaart17,

author={Mahdi Bidar and Edris Fattahi and Malek Mouhoub and Hamidreza Rashidy Kanan},

title={Modified Krill Herd Optimization Algorithm using Focus Group Idea},

booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},

year={2017},

pages={465-472},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0006187904650472},

isbn={978-989-758-220-2},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,

TI - Modified Krill Herd Optimization Algorithm using Focus Group Idea

SN - 978-989-758-220-2

AU - Bidar M.

AU - Fattahi E.

AU - Mouhoub M.

AU - Rashidy Kanan H.

PY - 2017

SP - 465

EP - 472

DO - 10.5220/0006187904650472