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scientific edition of Bauman MSTU

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

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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.
 
 
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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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