Size optimization of space trusses using Big Bang-Big Crunch algorithm
Computers and Structures
Nature-Inspired Metaheuristic Algorithms
Nature-Inspired Metaheuristic Algorithms
A new optimization method: Big Bang-Big Crunch
Advances in Engineering Software
Upper bound strategy for metaheuristic based design optimization of steel frames
Advances in Engineering Software
Bat inspired algorithm for discrete size optimization of steel frames
Advances in Engineering Software
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In the present study an enhanced variant of the big bang-big crunch (BB-BC) technique, namely exponential BB-BC algorithm (EBB-BC) is developed for code based design optimization of steel frame structures. It is shown that the standard version of the BB-BC algorithm is sometimes unable to produce reasonable solutions to problems from discrete design optimization of steel frames. Hence, through investigating the shortcomings of BB-BC algorithm, it is aimed to reinforce the performance of the technique for this class of problems in particular. The study provides numerical evidences of how the performance of a well-known metaheuristic technique (BB-BC) can significantly be improved through simple yet effective modifications in its formulation to achieve a more robust and reliable variant (EBB-BC). Further, a comparison of the optimum solutions with those of other well-known metaheuristics reveals that the EBB-BC algorithm can efficiently be used as a novel tool for code based design optimization of steel frames.