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oai:bayburt-rdlopen.rawdatalibrary.net:bayburt/122212026-10-29T19:09:20Zopenairecom_bayburt_10000col_bayburt_10001

Analysis of structures by total potential optimization using meta-heuristic algorithms (TPO/MA)Toklu, Y.C.Toklu, N.E.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.Nova Science Publishers, Inc.2017Book Chapterhttps://rdlopen.rawdatalibrary.net/r/bayburt/12221978-153612200-8978-153612022-6enMathematical Research Summariesinfo:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/bookParthttps://bayburt-rdlopen.rawdatalibrary.net/tr/items/bayburt/12221