Toklu Y.C.Toklu N.E.20.04.20192019-04-2020.04.20192019-04-20201797815361220089781536120226https://hdl.handle.net/20.500.12403/547Use 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.eninfo:eu-repo/semantics/closedAccessGenetic algorithmsHeuristic methodsProblem solvingShape optimizationSimulated annealingClassical methodsDesign optimizationGeometric non-linearityMeta heuristic algorithmNon-unique solutionsNonlinear problemsSwarm optimizationUnder-constrainedHeuristic algorithmsGenetic algorithmsHeuristic methodsProblem solvingShape optimizationSimulated annealingClassical methodsDesign optimizationGeometric non-linearityMeta heuristic algorithmNon-unique solutionsNonlinear problemsSwarm optimizationUnder-constrainedHeuristic algorithmsBook Chapter2312-s2.0-85034976089N/A