System identification by using migrating birds optimization algorithm: a   comparative performance analysis

HASAN MAKAS; NEJAT YUMUŞAK

Article Details

System identification by using migrating birds optimization algorithm: a comparative performance analysis

Authors:

HASAN MAKAS | NEJAT YUMUŞAK

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1879-1900

Document Type:

Article

Publication Date:

5/2016

Document Language:

Turkish

Document ID (Org No.):

2000742184

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

System identification is an important process to investigate and understand   the behavior of an unknown system. It aims to establish an interface between   the real system and its mathematical representation. Conventional system   identification methods generally need differentiable search spaces and they   cannot be used for nondifferentiable multimodal search spaces. On the other   hand, metaheuristic search algorithms are independent from the search space   characteristics and they do not need much knowledge about the real system.   The migrating birds optimization algorithm is a recently introduced   nature-inspired metaheuristic neighborhood search approach. It simulates the   V flight formation of migrating birds, which enables birds to save energy   during migration. In this paper, first, a set of comparative performance   tests by using benchmark functions are performed on the migrating birds   optimization algorithm and some other well-known metaheuristics. The same   metaheuristic algorithms are then employed to solve several system   identification problems. The results show that the migrating birds   optimization algorithm achieves promising optimizations both for benchmark   tests and for system identification problems.

Article Details

System identification by using migrating birds optimization algorithm: a comparative performance analysis

Authors: HASAN MAKAS | NEJAT YUMUŞAK

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1879-1900

Document Type: Article

Publication Date: 5/2016

Document Language: Turkish

Document ID (Org No.): 2000742184

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

HASAN MAKAS | NEJAT YUMUŞAK

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1879-1900

Document Type:

Article

Publication Date:

5/2016

Document Language:

Turkish

Document ID (Org No.):

2000742184

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632