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SCIENCE & EDUCATION

Bauman Moscow State Technical University.   El № FS 77 - 48211.   ISSN 1994-0408

A hybrid global optimization method based on artificial immune system

# 08, August 2012
DOI: 10.7463/0812.0433381
Article file: Шуров_P.pdf (656.77Kb)
authors: A.P. Karpenko, D.L. Shurov

References

1. Lucinska M., Wierzchon S.T. Hybrid Immune Algorithm for Multimodal Function Optimization. In: Recent Advances in Intelligent Information Systems, 2009, pp. 301-313. Available at: http://iis.ipipan.waw.pl/2009/proceedings/iis09-30.pdf .
 
 
2. Rowan T.H. Functional Stability Analysis of Numerical Algorithms. Ph.D. Thesis. Department of Computer Sciences, University of Texas at Austin, 1990. Available at: http://reference.kfupm.edu.sa/content/f/u/functional_stability_analysis_of_numeric_1308737.pdf .
 
 
3. The NLopt nonlinear-optimization package. Available at: http://ab-initio.mit.edu/wiki/index.php/NLopt .
 
 
4. Molga M., Smutnicki C. Test functions for optimization needs, 2005. Available at: http://www.zsd.ict.pwr.wroc.pl/files/docs/functions.pdf .
 
 
5. De Castro L.N., Von Zuben F.J. Learning and Optimization Using the Clonal Selection Principle. IEEE Transactions on Evolutionary Computation, 2002, vol. 6, no. 3, pp. 231-259. Available at: http://www.idi.ntnu.no/emner/tdt4/2010%20articles/clonalselection-13.10.pdf .
http://dx.doi.org/10.1109/TEVC.2002.1011539
 
6. De Castro L.N., Timmis J. An Artificial Immune Network for Multimodal Function Optimization. Proc. of IEEE Congress on Evolutionary Computation (CEC'02), May 2002, Hawaii, vol. 1, pp. 699-674. Available at: http://neuro.bstu.by/ai/To-dom/My_research/Papers-0/Etc-done/wais02.pdf .
 
 
7. Yildiz A.R. A novel hybrid immune algorithm for global optimization in design and manufacturing. Robotics and Computer-Integrated Manufacturing, 2009, vol. 25, pp. 261-270.
http://dx.doi.org/10.1016/j.rcim.2007.08.002
 
8. Kelsey J., Timmis J. Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation, 2003. Available at: http://www.cs.york.ac.uk/rts/docs/GECCO_2003/papers/2723/27230207.pdf .
 
 
9. Agiza H.N., Hassan A.E., Salah A.M. An Improved Version of opt-AiNet Algorithm (I-opt-AiNet) for Function Optimization. IJCSNS International Journal of Computer Science and Network Security, March 2011, vol. 11, no. 3, pp. 80-85. Available at: http://paper.ijcsns.org/07_book/201103/20110313.pdf .
 
 
10. Aragon V.S., Escuivel S.C., Coello Coello C.A. Solving Constrained Optimization using a T-Cell Artificial Immune System, 2008. Available at: http://polar.lsi.uned.es/revista/index.php/ia/article/viewFile/579/563.
 
 
11. Nelder J. A., Mead R. A simplex method for function minimization. The Computer Journal, 1965, vol. 7, pp. 308-313.
 
12. Eiben A. E., Michalewicz Z., Schoenauer M., Smith J. E. Parameter Control in Evolutionary Algorithms. In: Parameter Setting in Evolutionary Algorithms. Springer Verlag, 2007, pp. 19-46.
http://dx.doi.org/10.1007/978-3-540-69432-8_2
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