Title: A comparative investigation of eight recent population-based optimisation algorithms for mechanical and structural design problems
Authors: Betül Sultan Yıldız
Addresses: Department of Mechanical Engineering, Bursa Technical University, Bursa, 16330, Turkey
Abstract: Nowadays, designing of light-weight components is a very critical issue needed to be solved in industry. Different optimisation techniques have been developed to design light-weight components. In this research, a comparison of population-based optimisation algorithms for optimal design is presented. Additionally, a hybrid interior search-hill climbing algorithm is developed for optimising mechanical and structural design problems such as tension spring problem, welded beam problem, pressure vessel problem and optimal design of a vehicle sliding door hinge. It is shown that the result of the hybrid interior search algorithm (H-ISA) is better than gravitational search algorithm (GSA), ant lion optimiser (ALO), firefly algorithm (FFA), bat algorithm (BAT), league championship algorithm (LCA), symbiotic organisms search (SOS), imperialist competitive algorithm (ICA) and charged system search algorithm (CSS).
Keywords: interior search algorithm; ISA; hill-climbing algorithm; population-based optimisation; mechanical design; structural design; lightweight components; lightweight design; component design; tension springs; welded beams; pressure vessels; optimal design; vehicle design; vehicle doors; sliding door hinges; hinge design; metaheuristics; swarm intelligence; gravitational search algorithm; GSA; ant lion optimisation; ALO; firefly algorithm; bat algorithm; league championship algorithm; LCA; symbiotic organisms search; SOS; imperialist competitive algorithm; ICA; charged system search; CSS.
International Journal of Vehicle Design, 2017 Vol.73 No.1/2/3, pp.208 - 218
Available online: 22 Feb 2017 *Full-text access for editors Access for subscribers Free access Comment on this article