Global optimization by artificial life : a new technique using genetic population evolution
RAIRO - Operations Research - Recherche Opérationnelle, Tome 28 (1994) no. 1, pp. 23-36. 
@article{RO_1994__28_1_23_0,
     author = {Bicking, F. and Fonteix, C. and Corriou, J.-P. and Marc, I.},
     title = {Global optimization by artificial life : a new technique using genetic population evolution},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
     pages = {23--36},
     publisher = {EDP-Sciences},
     volume = {28},
     number = {1},
     year = {1994},
     zbl = {0857.90120},
     language = {en},
     url = {http://archive.numdam.org/item/RO_1994__28_1_23_0/}
}
TY  - JOUR
AU  - Bicking, F.
AU  - Fonteix, C.
AU  - Corriou, J.-P.
AU  - Marc, I.
TI  - Global optimization by artificial life : a new technique using genetic population evolution
JO  - RAIRO - Operations Research - Recherche Opérationnelle
PY  - 1994
SP  - 23
EP  - 36
VL  - 28
IS  - 1
PB  - EDP-Sciences
UR  - http://archive.numdam.org/item/RO_1994__28_1_23_0/
LA  - en
ID  - RO_1994__28_1_23_0
ER  - 
%0 Journal Article
%A Bicking, F.
%A Fonteix, C.
%A Corriou, J.-P.
%A Marc, I.
%T Global optimization by artificial life : a new technique using genetic population evolution
%J RAIRO - Operations Research - Recherche Opérationnelle
%D 1994
%P 23-36
%V 28
%N 1
%I EDP-Sciences
%U http://archive.numdam.org/item/RO_1994__28_1_23_0/
%G en
%F RO_1994__28_1_23_0
Bicking, F.; Fonteix, C.; Corriou, J.-P.; Marc, I. Global optimization by artificial life : a new technique using genetic population evolution. RAIRO - Operations Research - Recherche Opérationnelle, Tome 28 (1994) no. 1, pp. 23-36. http://archive.numdam.org/item/RO_1994__28_1_23_0/

1. C. A. Floudas and P. M. Pardalos, Recent Advances in Global Optimization, Princeton University Press, 1992. | MR

2. C. A. Floudas and V. Visweswaran, A Global Optimization Algorithm (GOP) for Certain Classes of Nonconvex NLPs. I. Theory. II Application of Theory and Test Problems, Comp. Chem. Engng, 1990, 14, (12), pp. 1397-1434.

3. S. Kirkpatrick, C. D. Gelalt and M. P. Vecchi, Optimization by Simulated Annealing, Science, 1983, 220, 4598, pp. 671-680. | MR

4. A. H. G. Rinnoy Kan and G. T. Timmer, Stochastic Global Optimization Methods, Part I: Clustering Methods, Math. Program., 1987, 39, p. 27. | Zbl

5. A. Zilinskas, Global Optimization. Axiomatics of Statistical Models, Algorithms and Their Applications, Moklas., Vilnius, 1986. | MR | Zbl

6. A. A. Torn and A. Zilinskas, Global Optimization, Lecture Notes in Comput Sci., 350, Springer-Verlag, Berlin, 1989. | MR | Zbl

7. A. H. G. Rinnoy Kan and G. T. Timmer, Global Optimization, Handsbooks in OR & MS, 2, G. L. NEMHAUSER et al Eds., Elsevier, Amsterdam, 1989. | Zbl

8. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, Mass., 1987. | Zbl

9. J. H. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Presss, Ann Arbor, 1975. | MR | Zbl

10. K. A. De Jong, An Analysis of the Behavior of a Class of Genetic Adaptive Systems, Ph. D. thesis, University of Michigan, Dissertation Abstracts International 36 (10) 5140B, University Microfilms No. 76-9381, 1975.

11. A. O. Griewangk, Generalized Descent for Global Optimization, J.O.T.A., 1981, 34, pp. 11-39. | MR | Zbl

12. H. P. Schwefel, Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie, 26, Interdisciplinary System Research, Birkhäuser, Basel, 1977. | Zbl