A modified artificial bee colony algorithm for numerical function optimization

BABAYİĞİT B., Ozdemir R.

17th IEEE Symposium on Computers and Communications (lSCC), Türkiye, 1 - 04 Temmuz 2012, ss.245-249 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.245-249
  • Erciyes Üniversitesi Adresli: Evet

Özet

Artificial bee colony (ABC) algorithm, explored in recent literature, is an efficient optimization technique which simulates the foraging behavior of honeybees. ABC algorithm is good at exploration but poor at exploitation. This paper presents a new modified ABC algorithm for numerical optimization problems to improve the exploitation capability of the ABC algorithm. A different probability function and a new searching mechanism are proposed. The modified ABC algorithm is tested on seven numerical optimization problems. The results demonstrate that the modified ABC algorithm outperforms the ABC algorithm on solution quality and faster convergence.