Paper Info
Title
Truss optimization with natural frequency constraints using generalized normal distribution optimization
Abstract
The newly proposed Generalized Normal Distribution Optimization (GNDO) algorithm is used to design the truss structures with optimal weight. All trusses optimized have frequency constraints, which make them very challenging optimization problems. A large number of locally optimal solutions and non-convexity of search space make them difficult to solve, therefore, they are suitable for testing the performance of optimization algorithm. This work investigates whether the proposed algorithm is capable of coping with such problems. To evaluate the GNDO algorithm, three benchmark truss optimization problems are considered with frequency constraints. Numerical data show GNDO’s reliability, stability, and efficiency for structural optimization problems than other meta-heuristic algorithms. We thoroughly analyse and investigate the performance of GNDO in this engineering area for the first time in the literature.
Year
DOI
Venue
2022
10.1007/s10489-021-03051-5
Applied Intelligence
Keywords
DocType
Volume
Generalized normal distribution optimization (GNDO), Frequency constraints, Optimal design, Truss structures
Journal
52
Issue
ISSN
Citations 
9
0924-669X
1
PageRank 
References 
Authors
0.48
7
2
Name
Order
Citations
PageRank
Nima Khodadadi151.34
Seyedali Mirjalili23949140.80