A Survey on Fruit Fly Optimization Algorithm
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study one of the recent swarm optimization algorithms namely Fruit Fly Optimization Algorithm (FOA) and some of its variants are investigated. FOA was suggested by PAN in 2011. It is a fast, easy to code and easy to understand metaheuristic algorithm having an effective search capability. Despite the advantages of the algorithm, FOA has some deficiencies which were encountered by the researchers during the implementations as shown in literature. To overcome the deficiencies of the algorithm various enhancements were applied by the researchers. This study represents and explains the FOA at first. Then, the improvements which were made on FOA are illustrated, and their implementations are given by examples. The study is concluded by illustrating the evolution and the hybrid variants of FOA.
Açıklama
2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) -- NOV 23-27, 2015 -- University of Bourgogne, the University of Milan, Bangkok, THAILAND
Anahtar Kelimeler
Fruit fly optimization algorithm, metaheuristic, improvement of fruit fly, modified fruit fly, FOA, FFOA
Kaynak
2015 11TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
