Global optimization by artificial life : a new technique using genetic population evolution

F. Bicking; C. Fonteix; J.-P. Corriou; I. Marc

RAIRO - Operations Research - Recherche Opérationnelle (1994)

  • Volume: 28, Issue: 1, page 23-36
  • ISSN: 0399-0559

How to cite

top

Bicking, F., et al. "Global optimization by artificial life : a new technique using genetic population evolution." RAIRO - Operations Research - Recherche Opérationnelle 28.1 (1994): 23-36. <http://eudml.org/doc/105072>.

@article{Bicking1994,
author = {Bicking, F., Fonteix, C., Corriou, J.-P., Marc, I.},
journal = {RAIRO - Operations Research - Recherche Opérationnelle},
keywords = {stochastic method; probabilistic rules; population genetics; genetic algorithms; global optimization},
language = {eng},
number = {1},
pages = {23-36},
publisher = {EDP-Sciences},
title = {Global optimization by artificial life : a new technique using genetic population evolution},
url = {http://eudml.org/doc/105072},
volume = {28},
year = {1994},
}

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
PB - EDP-Sciences
VL - 28
IS - 1
SP - 23
EP - 36
LA - eng
KW - stochastic method; probabilistic rules; population genetics; genetic algorithms; global optimization
UR - http://eudml.org/doc/105072
ER -

References

top
  1. 1. C. A. FLOUDAS and P. M. PARDALOS, Recent Advances in Global Optimization, Princeton University Press, 1992. MR1147432
  2. 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. 3. S. KIRKPATRICK, C. D. GELALT and M. P. VECCHI, Optimization by Simulated Annealing, Science, 1983, 220, 4598, pp. 671-680. Zbl1225.90162MR702485
  4. 4. A. H. G. RINNOY KAN and G. T. TIMMER, Stochastic Global Optimization Methods, Part I: Clustering Methods, Math. Program., 1987, 39, p. 27. Zbl0634.90066
  5. 5. A. ZILINSKAS, Global Optimization. Axiomatics of Statistical Models, Algorithms and Their Applications, Moklas., Vilnius, 1986. Zbl0907.90257MR875623
  6. 6. A. A. TORN and A. ZILINSKAS, Global Optimization, Lecture Notes in Comput Sci., 350, Springer-Verlag, Berlin, 1989. Zbl0752.90075MR988640
  7. 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. Zbl0715.90086
  8. 8. D. E. GOLDBERG, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, Mass., 1987. Zbl0721.68056
  9. 9. J. H. HOLLAND, Adaptation in Natural and Artificial Systems, University of Michigan Presss, Ann Arbor, 1975. Zbl0317.68006MR441393
  10. 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. 11. A. O. GRIEWANGK, Generalized Descent for Global Optimization, J.O.T.A., 1981, 34, pp. 11-39. Zbl0431.49036MR626627
  12. 12. H. P. SCHWEFEL, Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie, 26, Interdisciplinary System Research, Birkhäuser, Basel, 1977. Zbl0347.65035

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

                
Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.