Динамична оптимизация по метода на мравките


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and Recent Trends, in J. Branke (ed.), GECCO Workshop on Evolutionary Algorithms for
Dynamic Optimization Problems.
URL: http://www.ubka.uni-karlsruhe.de/cgi-bin/psview?document=2003
6. Cedeno, W. & Vemuri, V. R. (1997). On the Use of Niching for Dynamic Landscapes, International
Conference on Evolutionary Computation, IEEE.
7. Cobb, H. G. & Grefenstette, J. J. (1993). Genetic Algorithms for Tracking Changing Environments,
International Conference on Genetic Algorithms, Morgan Kaufmann, pp. 523-530.
URL: ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-004.ps
8. Dorigo, M. & Gambardella, L. M. (1997). Ant Colony System: A Cooperative Learning Approach
to the Traveling Salesman Problem, IEEE Transactions on Evolutionary Computation
1(1): 53-66.
9. Dorigo, M. & Gambardella, L. M. (2002). Guest editorial special on ant colony optimization, IEEE
Transactions on evolutionary computation 6(4): 317-319.
10. Drґeo, J., Aumasson, J. P., Tfaili, W. & Siarry, P. (2007). Adaptive learning search, a new tool to
help comprehending metaheuristics, International Journal on Artificial Intelligence Tools
16(3): 483-505.
11. Drґeo, J., Pґetrowski, A., Siarry, P. & Taillard, E. (2005). Metaheuristics for Hard Optimization,
22 Ant Colony Optimization - Methods and Applications
Continuous Dynamic Optimization 11
Methods and Case Studies, Springer.

12. Drґeo, J. & Siarry, P. (2004). Dynamic Optimization Through Continuous Interacting Ant Colony, in
M. Dorigo & al. (eds), ANTS 2004, LNCS 3172, pp. 422-423.

13. Guntsch, M. & Middendorf, M. (2001). Pheromone Modification Strategies for Ant Algorithms
Applied to Dynamic TSP., EvoWorkshop, pp. 213-222.
URL: http://link.springer.de/link/service/series/0558/bibs/2037/20370213.htm

14. Guntsch, M. & Middendorf, M. (2002a). Applying Population Based ACO to Dynamic
Optimization Problems, Third International Workshop ANTS, Springer Verlag, LNCS
2463, pp. 111-122.

15.Guntsch, M. & Middendorf, M. (2002b). A Population Based Approach for ACO, 2nd European
Workshop on Evolutionary Computation in Combinatorial Optimization, Springer
Verlag, LNCS 2279, pp. 72-81.

16. Guntsch, M., Middendorf, M. & Schmeck, H. (2001). An Ant Colony Optimization Approach to
Dynamic TSP, in L. Spector, E. D. Goodman, A. Wu, W. B. L. andHans Michael Voigt,

17. Merkle, D. & Middendorf, M. (2002). Studies on the Dynamics of Ant Colony Optimization
Algorithms, the Genetic and Evolutionary Computation Conference, (GECCO), New





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