A Comparison of Metaheuristic Algorithms for Structural Optimization: Performance and Efficiency Analysis
Optimization challenges effectively mirror numerous complex real-world problems. These are typically addressed using two methodologies: approximate methods and exact methods. Within the approximate category, meta-heuristic methods are prominent. These algorithms employ systematic principles to avoid...
Saved in:
| Main Authors: | Saeedeh Ghaemifard, Amin Ghannadiasl |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/2054173 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimal Performance of PI Controller for AC Microgrid Based on Metaheuristic Optimization Algorithms
by: Ruqaya Majeed Kareem, et al.
Published: (2025-01-01) -
Metaheuristic Algorithms for Optimization: A Brief Review
by: Vinita Tomar, et al.
Published: (2024-03-01) -
Evaluation of the Efficiency of Metaheuristic Algorithms in the Optimal Design of Pile Wall Retaining Systems
by: Farshad Taiyari
Published: (2025-06-01) -
KPLS Optimization With Nature-Inspired Metaheuristic Algorithms
by: Jorge Daniel Mello-Roman, et al.
Published: (2020-01-01) -
Metaheuristic Algorithms in Optimal Design of Engineering Problems
by: Łukasz Knypiński, et al.
Published: (2024-11-01)