A New and Fast Optimization Algorithm: Fox Hunting Algorithm (FHA)

DOI

10.2991/amsm-16.2016.35How to use a DOI?

Keywords

component; fox hunting algorithm, functional optimization, swarm intelligence

Abstract

A new population-based search algorithm called the Fox Hunting Algorithm (FHA) is presented here. FHA is a general-purpose algorithm that can be applied to solve almost any optimization problem. The algorithm mimics the fox hunting activity which is formed and improved since 16th century. The algorithm performs some neighborhood searches combined with random search. It can be used for both combinatorial optimization and functional optimization.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Murat Onay
PY  - 2016/05
DA  - 2016/05
TI  - A New and Fast Optimization Algorithm: Fox Hunting Algorithm (FHA)
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 153
EP  - 156
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.35
DO  - 10.2991/amsm-16.2016.35
ID  - Onay2016/05
ER  -