Artificial bee colony algorithm for large-scale problems and engineering design optimization

Author:

Akay Bahriye,Karaboga Dervis

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Reference42 articles.

1. Bartak, R., Salido, M. A., & Rossi, F. (2008). Constraint satisfaction techniques in planning and scheduling. Journal of Intelligent Manufacturing, doi: 10.1007/s10845-008-0203-4 .

2. Basturk, B. & Karaboga, D. (2006). An artificial bee colony (abc) algorithm for numeric function optimization. In IEEE Swarm Intelligence Symposium 2006 Indianapolis. Indiana, USA.

3. Bean, J. C., & Hadj-Alouane, A. B. (1992). A dual genetic algorithm for bounded integer programs. Technical report TR 92-53, Department of Industrial and Operations Engineering, The University of Michigan. To appear in R.A.I.R.O.-R.O. (invited submission to special issue on GAs and OR).

4. Boyer D. O., Martnez C. H., Pedrajas N. G. (2005) Crossover operator for evolutionary algorithms based on population features. Journal of Artificial Intelligence Research 24: 1–48

5. Coello Coello C.A. (2002) Theoretical and numerical constraint handling techniques used with evolutionary algorithms: A survey of the state of the art. Computer Methods in Applied Mechanics and Engineering 191(1112): 1245–1287

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