A modified Artificial Bee Colony algorithm for real-parameter optimization

Swarm intelligence is a research field that models the collective intelligence in swarms of insects or animals. Many algorithms that simulates these models have been proposed in order to solve a wide range of problems. The Artificial Bee Colony algorithm is one of the most recent swarm intelligence...

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Bibliographic Details
Published inInformation sciences Vol. 192; pp. 120 - 142
Main Authors Akay, Bahriye, Karaboga, Dervis
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.06.2012
Subjects
Artificial Bee Colony algorithm
Real-parameter optimization
Self-organization
Swarm intelligence
Artificial Bee Colony algorithm
Real-parameter optimization
Swarm intelligence
Self-organization
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ISSN0020-0255
1872-6291
DOI10.1016/j.ins.2010.07.015

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Summary:Swarm intelligence is a research field that models the collective intelligence in swarms of insects or animals. Many algorithms that simulates these models have been proposed in order to solve a wide range of problems. The Artificial Bee Colony algorithm is one of the most recent swarm intelligence based algorithms which simulates the foraging behaviour of honey bee colonies. In this work, modified versions of the Artificial Bee Colony algorithm are introduced and applied for efficiently solving real-parameter optimization problems.
ISSN:0020-0255
1872-6291
DOI:10.1016/j.ins.2010.07.015