Advanced Search

Query:

Fill in the form and click »Search«...

Format:

Display: entries per page entries

Zbl 1149.90186
Karaboga, Dervis; Basturk, Bahriye
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. (English)
[J] J. Glob. Optim. 39, No. 3, 459-471 (2007). ISSN 0925-5001; ISSN 1573-2916/e

Summary: 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 typical example of a swarm system. Bees' swarming around their hive is another example of swarm intelligence. Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm. In this work, ABC algorithm is used for optimizing multivariable functions and the results produced by ABC, Genetic Algorithm (GA), Particle Swarm Algorithm (PSO) and Particle Swarm Inspired Evolutionary Algorithm (PS-EA) have been compared. The results showed that ABC outperforms the other algorithms.

MSC 2000:: *90C59 Approximation methods and heuristics

Keywords: Swarm intelligence; Artificial bee colony; Particle swarm optimization; Genetic algorithm; Particle swarm inspired evolutionary algorithm; Numerical function optimization

Comment on this Item PDF MathML XML ASCII DVI PS BibTeX Online Ordering Article Journal

	Scientific prize winners of the ICM 2010
	Overhang
	Lie groups, physics and geometry. An introduction for physicists, engineers and chemists.

Advanced Search

Zentralblatt MATH Berlin [Germany]