Araştırma Makalesi

STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM

Cilt: 5 Sayı: 2 1 Haziran 2017
  • Barış Koçer
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STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM

Abstract

Artificial Bee Colony algorithm is one of the naturally inspired meta heuristic method. As

usual, in a meta heuristic method, intuitively appealing way to have better results is extending

calculation time or increasing the fitness evaluation count. But the desired way is acquiring better results

with less computation. So in this work a modified Artificial Bee Colony algorithm which can find better

results with same computation is developed by benefiting statistical observations.

Keywords

Kaynakça

  1. Akay, B., Karaboga, D., 2012 “A Modified Artificial Bee Colony Algorithm for Real-Parameter Optimization”, Information Sciences, Vol. 192, pp. 120-142. doi:10.1016/j.ins.2010.07.015
  2. Basturk, B., Karaboga, D., “An Artificial Bee Colony (ABC) Algorithm for Numeric Function Optimization”, IEEE Swarm Intelligence Symposium, Indianapolis, Indiana, USA, May 2006.
  3. Dorigo, M., Maniezzo, V., Colorni, A., Positive Feedback as a Search Strategy, Technical Report 91-016, Politecnico di Milano, Italy, 1991.
  4. Drias, H., Sadeg, S., Yahi, S., “Cooperative Bees Swarm for solving The Maximum Weighted Satisfiability Problem”, Computational Intelligence and Bioinspired Systems. in: 8th International Workshop on Artificial Neural Networks IWANN 2005, Vilanova, Barcelona, Spain, June 8–10 2005.
  5. Holland, J.H., 1975, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, MI.
  6. Karaboga, D., 2005, An Idea Based on Honeybee Swarm for Numerical Optimization, Technical Report TR06, Erciyes University, Engineering Faculty, Computer Engineering Department.
  7. Karaboga, D., Basturk, B., 2007, “A Powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) algorithm”, Journal of Global Optimization, Vol. 39 (3), pp. 459–471.
  8. Karaboga, D., Akay, B., “Solving Large Scale Numerical Problems Using Artificial Bee Colony Algorithm”, in: Sixth International Symposium on Intelligent and Manufacturing Systems Features, Strategies and Innovation, Sakarya, Türkiye, 14–17 October 2008.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Barış Koçer Bu kişi benim

Yayımlanma Tarihi

1 Haziran 2017

Gönderilme Tarihi

9 Ocak 2017

Kabul Tarihi

25 Şubat 2017

Yayımlandığı Sayı

Yıl 2017 Cilt: 5 Sayı: 2

Kaynak Göster

APA
Koçer, B. (2017). STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi, 5(2), 153-169. https://doi.org/10.15317/Scitech.2017.79
AMA
1.Koçer B. STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM. sujest. 2017;5(2):153-169. doi:10.15317/Scitech.2017.79
Chicago
Koçer, Barış. 2017. “STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 5 (2): 153-69. https://doi.org/10.15317/Scitech.2017.79.
EndNote
Koçer B (01 Haziran 2017) STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 5 2 153–169.
IEEE
[1]B. Koçer, “STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM”, sujest, c. 5, sy 2, ss. 153–169, Haz. 2017, doi: 10.15317/Scitech.2017.79.
ISNAD
Koçer, Barış. “STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 5/2 (01 Haziran 2017): 153-169. https://doi.org/10.15317/Scitech.2017.79.
JAMA
1.Koçer B. STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM. sujest. 2017;5:153–169.
MLA
Koçer, Barış. “STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi, c. 5, sy 2, Haziran 2017, ss. 153-69, doi:10.15317/Scitech.2017.79.
Vancouver
1.Barış Koçer. STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM. sujest. 01 Haziran 2017;5(2):153-69. doi:10.15317/Scitech.2017.79

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