Artificial algae algorithm with multi-light source for numerical optimization and applications

Küçük Resim Yok

Tarih

2015

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

ELSEVIER SCI LTD

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Artificial algae algorithm (AAA), which is one of the recently developed bio-inspired optimization algorithms, has been introduced by inspiration from living behaviors of microalgae. In AAA, the modification of the algal colonies, i.e. exploration and exploitation is provided with a helical movement. In this study, AAA was modified by implementing multi-light source movement and artificial algae algorithm with multi-light source (AAA(ML)) version was established. In this new version, we propose the selection of a different light source for each dimension that is modified with the helical movement for stronger balance between exploration and exploitation. These light sources have been selected by tournament method and each light source are different from each other. This gives different solutions in the search space. The best of these three light sources provides orientation to the better region of search space. Furthermore, the diversity in the source space is obtained with the worst light source. In addition, the other light source improves the balance. To indicate the performance of AAA with new proposed operators (AAA(ML)) experiments were performed on two different sets. Firstly, the performance of AAA and AAA(ML) was evaluated on the IEEE-CEC'13 benchmark set. The second set was real-world optimization problems used in the IEEE-CEC'11. To verify the effectiveness and efficiency of the proposed algorithm, the results were compared with other state-of-the-art hybrid and modified algorithms. Experimental results showed that the multi-light source movement (MLS) increases the success of the AAA. (C) 2015 Elsevier Ireland Ltd. All rights reserved.

Açıklama

Anahtar Kelimeler

Artificial algae algorithm, Multi-light source movement, Numerical optimization, Real-world optimization problems

Kaynak

BIOSYSTEMS

WoS Q Değeri

Q2

Scopus Q Değeri

Q3

Cilt

138

Sayı

Künye