Analysis of structures by total potential optimization using meta-heuristic algorithms (TPO/MA)
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Nova Science Publishers, Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Use of meta-heuristic algorithms in analysis of structures is much more recent than their use in design of structures. Effectively, while design optimization makes use of genetic algorithms, simulated annealing, swarm optimization, etc. since about half a century with an increasing interest, these techniques are being used in structural analysis since a decade only. Total Potential Optimization using Meta-heuristic Algorithms (TPO/MA), though being an emerging method at the moment, has proved to be very efficient in solving nonlinear problems, involving both material and geometric nonlinearities. The capabilities of the method in treating under-constrained problems and problems with non-unique solutions are much more advanced than the classical methods including the well-known Finite Element Method. © 2017 Nova Science Publishers, Inc.
Açıklama
Anahtar Kelimeler
Genetic algorithms, Heuristic methods, Problem solving, Shape optimization, Simulated annealing, Classical methods, Design optimization, Geometric non-linearity, Meta heuristic algorithm, Non-unique solutions, Nonlinear problems, Swarm optimization, Under-constrained, Heuristic algorithms, Genetic algorithms, Heuristic methods, Problem solving, Shape optimization, Simulated annealing, Classical methods, Design optimization, Geometric non-linearity, Meta heuristic algorithm, Non-unique solutions, Nonlinear problems, Swarm optimization, Under-constrained, Heuristic algorithms
Kaynak
Mathematical Research Summaries
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
2
