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AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
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A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organize. An ant colony, a flock of birds or an immune system is a typicalExpand
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On the performance of artificial bee colony (ABC) algorithm
Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent behaviour of honeybee swarms. This work compares the performance of ABC algorithm with that ofExpand
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A comparative study of Artificial Bee Colony algorithm
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms. ABC simulates the intelligent foraging behaviour of a honeybee swarm. In this work, ABC is usedExpand
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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 wideExpand
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Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrained optimization problems. The ABC algorithm has been firstly proposed forExpand
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A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algorithms, simulates the intelligent foraging behavior of a honey bee swarm. Clustering analysis, usedExpand
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A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems
Abstract: Artificial Bee Colony (ABC) algorithm was firstly proposed for unconstrained optimization problems on where that ABC algorithm showed superior performance. This paper describes a modifiedExpand
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Artificial bee colony algorithm for large-scale problems and engineering design optimization
  • B. Akay, D. Karaboga
  • Computer Science, Engineering
  • J. Intelligent Manufacturing
  • 1 August 2012
Engineering design problems are generally large scale or nonlinear or constrained optimization problems. The Artificial Bee Colony (ABC) algorithm is a successful tool for optimizing unconstrainedExpand
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A comprehensive survey: artificial bee colony (ABC) algorithm and applications
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-organized swarms. The well known examples for these swarms are bird flocks, fish schools and theExpand
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