.png){kind=icon}
Return
Flow Direction Algorithm (FDA): A Novel Optimization Approach for Solving Optimization Problems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cie.2021.107224.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
Optimization
Heuristic
Benchmark
Metaheuristic
Algorithm
Flow direction method
Mathematical benchmark functions
Engineering problem optimization
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.5
Papers:
1.0W
Citations:
3.8W
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSaveShareSaveFacile synthesis of α-MnO2 nanorods at low temperature and their microwave absorption properties
PREAI
ShareSaveBayesian Statistics of Wide-Band Radar Reflections for Oil Spill Detection on Rough Ocean Surface
OAAI
OAAIShareSaveShareSave
View more