A memory integrated artificial bee algorithm for 1 D binpacking problems
Yazarlar (3)
Dr. Öğr. Üyesi Tuğrul BAYRAKTAR Karabük Üniversitesi, Türkiye
Mehmet Emin Aydın University Of Bedfordshire, İngiltere
Prof. Dr. Muharrem DÜĞENCİ Karabük Üniversitesi, Türkiye
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| Kongre Adı | JOINT SYMPOSIUM ON IMSS’14 AND CIE’44 | ||
| Kongre Tarihi | 14-10-2014 / 16-10-2014 | ||
| Basıldığı Ülke | Basıldığı Şehir | ||
| Bildiri Linki | https://www.researchgate.net/publication/282655741 | ||
| UAK Araştırma Alanları |
Veri Madenciliği
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| Özet |
| Swarm intelligence algorithms gain more attention with ever growing computing capabilities since they can provide diverse and useful solutions for ill-structured and complex problems. Artificial Bee Colony (ABC) algorithm is a recently developed promising swarm intelligence algorithm attracting researches attention with its strong foundations. In this study, few ABC algorithms including a memory integrated version have been tested for solving 1-D bin-packing problems, which is known as one of challenging NP-Hard combinatorial problems. The results seem very encouraging and lead to further studies to implement ABC algorithms for other combinatorial optimization problems, especially higher dimensional bin-packing problems. |
| Anahtar Kelimeler |
| Artificial bee colony algorithms | Bin-packing problems | Memory-embedded search | Swarm intelligence |
