Comparison of Two Metaheuristic Algorithms on Sizing and Topology Optimization of Trusses and Mathematical Functions
Küçük Resim Yok
Tarih
2018
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Gazi Univ
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Optimal solution of a desired optimization problem is mostly obtained via minimizing or maximizing a real function considering several predefined limitations. Selection of proper optimization algorithm as an optimizer tool plays a key role on the solution process. In this respect, current study intends to compare the performances of two different prevalent metaheuristic optimization algorithms. These are integrated particle swarm optimizer (iPSO) and teaching and learning based optimizer (TLBO). The former method is a single-phase algorithm while the latter one is the double-phase algorithm. Capabilities of both algorithms were compared separately on some mathematical benchmark test problems. Furthermore, to exhibit and compare their performance on solving more complex problems, size and topology optimization of the structural systems are also examined. Achieved results demonstrate the superiority of iPSO in comparison with TLBO in both search capability and convergence rate.
Açıklama
Anahtar Kelimeler
Size and topology optimization, Particle swarm optimization, Teaching learning based optimization, Metaheuristic algorithms
Kaynak
Gazi University Journal of Science
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
31
Sayı
2
