Proceedings Article10.1109/INMIC.2009.5383155
A powerful bee swarm optimization algorithm
Reza Akbari,Alireza Mohammadi,Koorush Ziarati +2 more
- 01 Dec 2009
- pp 1-6
30
TL;DR: A novel algorithm called bee swarm optimization, or BSO, is presented which is a population based optimization technique which is inspired from foraging behavior of honey bees and provides different patterns which are used by the bees to adjust their flying trajectories.
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Abstract: The optimization algorithms which are inspired from intelligent behavior of honey bees are among the most recently introduced techniques In this paper, a novel algorithm called bee swarm optimization, or BSO, is presented The BSO is a population based optimization technique which is inspired from foraging behavior of honey bees The proposed approach provides different patterns which are used by the bees to adjust their flying trajectories The BSO algorithm is compared with existing bee algorithms on a set of well known numerical test functions The experimental results show that the BSO algorithm is effective and robust; produce excellent results, and outperform other algorithms investigated in this consideration
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Citations
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A mechanism based on Artificial Bee Colony to generate diversity in Particle Swarm Optimization
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Global Artificial Bee Colony-Levenberq-Marquardt GABC-LM Algorithm for Classification
TL;DR: This paper investigates the new hybrid technique called Global Artificial Bee Colony-Levenberq-Marquardt GABC-LM algorithm, which performs better than that standard BP, ABC, PSO and GABC for the classification task.
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A State-of-the-Art Review of Artificial Bee Colony in the Optimization of Single and Multiple Criteria
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References
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Dervis Karaboga,Bahriye Basturk +1 more
TL;DR: Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm that is used for optimizing multivariable functions and the results showed that ABC outperforms the other algorithms.
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga,Bahriye Akay +1 more
TL;DR: Results show that the performance of the ABC is better than or similar to those of other population-based algorithms with the advantage of employing fewer control parameters.
3.3K
A new design method based on artificial bee colony algorithm for digital IIR filters
TL;DR: A new method based on ABC algorithm for designing digital IIR filters is described and its performance is compared with that of a conventional optimization algorithm (LSQ-nonlin) and particle swarm optimization (PSO) algorithm.
Bee Colony Optimization: Principles and Applications
Dušan Teodorović,Panta Lučić,Goran Z. Markovic,Mauro Dell' Orco +3 more
- 01 Sep 2006
TL;DR: The bee colony optimization metaheuristic (BCO) is proposed in the paper and two BCO algorithms that are described that are capable to solve deterministic combinatorsial problems, as well as combinatorial problems characterized by uncertainty.
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