Research Area: Metaheuristic Computing
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.
Keywords:
swarm optimization algorithms
Fruit Fly Optimization
effective search
capability
deficiencies
enhancements
improvements
implementations
Author(s) Name: Hazim Iscan; Mesut Gunduz
Journal name:
Conferrence name: 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
Publisher name: IEEE
DOI: https://doi.org/10.1109/SITIS.2015.55
Volume Information:
