Diversifying Search in Bee Algorithms for Numerical Optimisation
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer International Publishing Ag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Swarm intelligence offers useful instruments for developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the individual contributions so that a complementary collective effort can be achieved to offer a useful solution. The harmonisation helps blend diversification and intensification suitably towards efficient collective behaviours. In this study, two renown honeybees-inspired algorithms were analysed with respect to the balance of diversification and intensification and a hybrid algorithm is proposed to improve the efficiency accordingly. The proposed hybrid algorithm was tested with solving wellknown highly dimensional numerical optimisation (benchmark) problems. Consequently, the proposed hybrid algorithm has demonstrated outperforming the two original bee algorithms in solving hard numerical optimisation benchmarks.
Açıklama
10th International Conference on Computational Collective Intelligence (ICCCI) -- SEP 05-07, 2018 -- Bristol, ENGLAND
Anahtar Kelimeler
Swarm intelligence, Numerical optimisation, Bee-inspired algorithms, Diversification and intensification
Kaynak
Computational Collective Intelligence, Iccci 2018, Pt Ii
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
11056
