Sadik Ozgur Degertekin

TL;DR: In this paper, a meta-heuristic search method based on the analogy between the performance process of natural music and searching for solutions to optimization problems was developed for optimum design of steel frames.

TL;DR: The results demonstrate that JA can obtain better designs than those of the other state-of-the-art metaheuristic and gradient-based optimization methods in terms of optimized weight, standard deviation and number of structural analyses.

TL;DR: This study presents a novel JA formulation for discrete optimization of truss structures under stress and displacement constraints, denoted as discrete advanced JA (DAJA), and demonstrates the superiority of DAJA over other state-of-the-art metaheuristic algorithms and multi-stage continuous–discrete optimization formulations.

TL;DR: In this article, a metaheuristic search algorithm based on the analogy between the performance process of natural music and searching for solutions of optimum design problems is developed to determine the minimum cost design of steel frames with semi-rigid connections and column bases.

TL;DR: In this paper, two algorithms are presented for the optimum design of geometrically nonlinear steel space frames that are based on simulated annealing and genetic algorithm, which obtain minimum weight frames by selecting suitable sections from a standard set of steel sections such as AISC wide-flange shapes.