Advances in fruit fly optimization algorithms
WANG Ling
ZHENG Xiao-long
Abstract：As a novel swarm intelligence based optimization algorithm, the fruit fly optimization algorithm (FOA) inspired by the foraging behavior of fruit flies with vision and smell is easy to understand, implement and has few control parameters. During recent years, the research of the FOA has attracted wide attention, and the FOA and its variants have gained successful applications in many engineering optimization fields. After stating the idea and mechanism to design the FOA, the advances in the research of the FOA are surveyed in details, including the improvement work in terms of maintaining the diversity of the population, designing the knowledge driven strategy and the collaborative mechanisms. Moreover, the generalized research work of the FOA in the fields of discrete optimization, multi-objective optimization and uncertain optimization are also introduced. In addition, the typical applications of the FOA are reviewed. Finally, some future research directions and contents in terms of theory, design, extension and applications of the FOA are pointed out.
Keywords：swarm intelligencefruit fly optimization algorithmknowledge drivencollaborationhybrid algorithm
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 557-563 )