GELİŞTİLMİŞ YAPAY ARI KOLONİ ALGORİTMASI İLE KAFES VE DÜZLEMSEL ÇELİK YAPILARIN OPTİMUM TASARIMI

Abstract

Over the past few years, swarm intelligence based optimization techniques such as ant colony optimization and particle swarm optimization have received considerable attention from researchers. These algorithms have been used in the solution of various engineering problems. This study presents an Artificial Bee Colony Algorithm (ABC) technique for discrete optimization of planer steel frames and truss steel frames. In order to demonstrate the effectiveness of algorithm, two problems with up to 168 members and 20 design variables were solved and results were compared with those obtained using other well-known meta-heuristic search techniques. The results demonstrate that the artificial bee colony algorithm (ABC) is very effective and robust for planer steel frames and truss steel frame design.