论文信息 - A cooperative approach to The Artificial Bee Colony algorithm

A cooperative approach to The Artificial Bee Colony algorithm

The Artificial Bee Colony (ABC) algorithm is a powerful continuous optimization tool that has been proposed in the past few years. Many studies have shown the ABC superiority in terms of performance when compared to other well-known optimization algorithms. In this paper, the implementation of a Cooperative ABC (CABC) algorithm that is based on the explicit space decomposition approach is investigated. Both the ABC algorithm and its cooperative versions are applied to a well-known set of classical benchmark functions.

Mohammed El-Abd

[1] Yichuan Shao,et al. Cooperative Bacterial Foraging Optimization , 2009, 2009 International Conference on Future BioMedical Information Engineering (FBIE).

[2] Dervis Karaboga,et al. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .

[3] D. Karaboga,et al. Artificial Bee Colony ( ABC ) , Harmony Search and Bees Algorithms on Numerical Optimization , 2009 .

[4] Dervis Karaboga,et al. A comparative study of Artificial Bee Colony algorithm , 2009, Appl. Math. Comput..

[5] Andries Petrus Engelbrecht,et al. A Cooperative approach to particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

[6] Dervis Karaboga,et al. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

[7] Kenneth A. De Jong,et al. A Cooperative Coevolutionary Approach to Function Optimization , 1994, PPSN.

[8] D. Karaboga,et al. On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..

[9] M. Kamel,et al. A Taxonomy of Cooperative Search Algorithms , 2005, Hybrid Metaheuristics.

[10] Dervis Karaboga,et al. Parameter Tuning for the Artificial Bee Colony Algorithm , 2009, ICCCI.

[11] Ben Niu,et al. Cooperative Approaches to Bacterial Foraging Optimization , 2008, ICIC.