Flow Direction Algorithm (FDA): A Novel Optimization Approach for Solving Optimization Problems
File version
Author(s)
Anaraki, MV
Farzin, S
Mirjalili, S
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
License
Abstract
The present study aimed to propose a new optimization algorithm named Flow Direction Algorithm (FDA), which is a physics-based algorithm. The FDA algorithm mimics the flow direction to the outlet point with the lowest height in a drainage basin. In other words, flow moves to neighbor with lowest high or best objective function. Thirteen classic mathematical benchmark functions, ten new mathematical benchmark functions and five engineering design problems, including three-bar truss, tension/compression spring, speed reducer, gear train, and welded beam design, with different properties are considered to evaluate the proposed algorithm. Comparing the results of the FDA with other optimization algorithms demonstrates the superior performance of the FDA in solving challenging optimization problems.
Journal Title
Computers and Industrial Engineering
Conference Title
Book Title
Edition
Volume
156
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Mathematical sciences
Engineering
Information and computing sciences
Persistent link to this record
Citation
Karami, H; Anaraki, MV; Farzin, S; Mirjalili, S, Flow Direction Algorithm (FDA): A Novel Optimization Approach for Solving Optimization Problems, Computers and Industrial Engineering, 2021, 156, pp. 107224