.png){kind=icon}
返回
A systematic review on fruit fly optimization algorithm and its applications
.png){kind=icon}
PRE
AI
DOI：10.1007/s10462-023-10451-1.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Fruit Fly Optimization Algorithm (FOA) is a metaheuristic algorithm inspired by fruit fly foraging behaviours. A large numbers of variants of FOA have been proposed by many researchers. These have been applied to solve various engineering optimization problems. The existing variants and improvements can be categorized as discrete, chaotic, hybrid, improved or modified, and multi-objective. In this paper, a systematic review of FOA has been presented. The review investigates into FOA variants and their pros and cons, as well as FOA applications in various engineering fields. The study is carried out using the PRISMA methodology. The manuscripts have been identified and included in the review using this methodology. In general, researchers around the world confront difficulties in identifying appropriate algorithms to handle real-world optimization problems. This study can be used by researchers to address real-world problems in various domains using FOA, and it can also be used to design variants of FOA and other metaheuristic algorithms.
Keyword:
Metaheuristics
Fruit Fly Algorithm
Control parameters
Discrete
Chaotic
期刊
IF:
13.9
论文数:
6.1K
被引数:
1.9W
机构
引用论文
分享收藏FIELD-SCALE ROLES OF DENSITY, TEMPERATURE, NITROGEN, AND PREDATION ON APHID POPULATION DYNAMICS.png)
Ecology
EcologyIF0
PREAI
分享收藏Small-Scale Intraspecific Life History Variation in Herbivorous Spider Mites (Tetranychus pacificus) Is Associated with Host Plant CultivarPLoS ONE
OAAI
PLoS ONEIF0
OAAI分享收藏Rehydration effects on pressure-volume relationships in four temperate woody species: variability with site, time of season and drought conditionsOecologia
OecologiaIF0
PREAI
分享收藏
查看更多内容