Yazar "Talaslıoğlu, Tuğrul" için listeleme
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A new genetic algorithm methodology for design optimization of truss structures: Bipopulation-based genetic algorithm with enhanced interval search
Talaslıoğlu, Tuğrul (HINDAWI LTD, ADAM HOUSE,, 2009)A new genetic algorithm (GA) methodology, Bipopulation-Based Genetic Algorithm with Enhanced Interval Search (BGAwEIS), is introduced and used to optimize the design of truss structures with various complexities. The results ... -
A Unified optimal design approach for geometrically nonlinear skeletal dome structures
Talaslıoğlu, Tuğrul (BUDAPEST UNIV TECHNOLOGY ECONOMICS, 2019)In this study, a unified optimal design approach is proposed for the design of skeletal dome structure (SDS). Thus, this study has three objectivities, i) presenting the emergence of proposed design integrity, ii) applying ... -
Design optimization of tubular lattice girders
Talaslıoğlu, Tuğrul (HONG KONG INST STEEL CONSTRUCTION, 2019)The lattice girder, members of which are constructed by use of ready profiles with tubular cross-sections, has a simple but an effective structural framing form. In this regard, this study proposes to optimize the design ... -
Global stability-based design optimization of truss structures using multiple objectives
Talaslıoğlu, Tuğrul (SPRINGER INDIA,, 2013)This paper discusses the effect of global stability on the optimal size and shape of truss structures taking into account of a nonlinear critical load, truss weight and serviceability at the same time. The nonlinear critical ... -
Multiobjective design optimization of grillage systems according to LRFD-AISC
Talaslıoğlu, Tuğrul (HINDAWI LTD, ADAM HOUSE,, 2011)Both the entire weight and joint displacements of grid structures are minimized at the same time in this study. Four multiobjective optimization algorithms, NSGAII, SPEAII, PESAII, and AbYSS are employed to perform ... -
Optimization of geometrically nonlinear lattice girders. Part I: considering member strengths
Talaslıoğlu, Tuğrul (VILNIUS GEDIMINAS TECH UNIV., 2015)In this study, the entire weight, joint displacements and load-carrying capacity of tubular lattice girders are simultaneously optimized by a multi-objective optimization algorithm, named Non-dominated Sorting Genetic ...