DocumentCode
2456096
Title
Cauchy movements for Artificial Bees for finding better food sources
Author
Rajasekhar, Anguluri ; Pant, Millie ; Abraham, Ajith
Author_Institution
Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol.-Warangal, Warangal, India
fYear
2011
fDate
19-21 Oct. 2011
Firstpage
279
Lastpage
284
Abstract
Artificial Bee Colony (ABC) algorithm is one of the most recent swarm intelligence based algorithms which simulates the foraging behavior of honey bee colonies. In the present study we propose a simple modification in the basic structure of ABC to enhance the capabilities of virtual bees in locating the potential food sources (ones having sufficient amount of nectar in them). If the virtual bees are unable to locate a good food source even after a particular number of cycles then they are forced towards another food source with the help of a small perturbation. The corresponding algorithm is named as C-ABC, where C stands for Cauchy distribution which helps the bees in getting away from food sources which are not so good. Analysis of the proposed C-ABC on 5 standard benchmark problems and 7 non-traditional problems, suggested in the special session of CEC´2008, shows that the incorporation of the proposed scheme considerably improves the performance of basic ABC algorithm.
Keywords
ant colony optimisation; artificial intelligence; food products; ABC algorithm; C-ABC; artificial bee colony algorithm; benchmark problem; cauchy distribution; cauchy movement; food source; honey bee colonies; swarm intelligence based algorithm; virtual bees; Algorithm design and analysis; Benchmark testing; Biology; Clustering algorithms; Heuristic algorithms; Mathematical model; Optimization; Cauchy Distribution; dynamic optimization problems; honey-bees;
fLanguage
English
Publisher
ieee
Conference_Titel
Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on
Conference_Location
Salamanca
Print_ISBN
978-1-4577-1122-0
Type
conf
DOI
10.1109/NaBIC.2011.6089608
Filename
6089608
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