A comparative investigation of eight recent population-based optimisation algorithms for mechanical and structural design problems

Küçük Resim Yok

Tarih

2017

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Inderscience Enterprises Ltd

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

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).

Açıklama

Anahtar Kelimeler

interior search algorithm, hill-climbing, optimisation

Kaynak

International Journal Of Vehicle Design

WoS Q Değeri

Q4

Scopus Q Değeri

Q4

Cilt

73

Sayı

1-3

Künye