Meunier, H., Talbi, E.G., Reininger, P.: A multiobjective genetic algorithm for radio network optimisation. In: CEC. Volume 1., Piscataway, New Jersey, IEEE Service Center (2000) 317-324 Home/Search Document Details and Download
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Meunier, H., Talbi, E.G., Reininger, P.: A multiobjective genetic algorithm for radio network optimisation. In: CEC. Volume 1., Piscataway, New Jersey, IEEE Service Center (2000) 317-324
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H. Meunier, E. G. Talbi, and P. Reininger. A multiobjective genetic algorithm for radio network optimisation. In CEC, volume 1, pages 317-324, Piscataway, New Jersey, jul 2000. IEEE Service Center.
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....12. They correspond to CVRP instances. The first five benchmarks correspond to maps where the customers are uniformly distributed on the map, while benchmarks 11 and 12 correspond to clustered maps. To evaluate the contribution of the elementary brick parallel model, we use the entropy measure [11][1] The entropy indicator gives an idea about the di versity of a Pareto front in comparison with another Pareto front. It is defined The results can be found at the url http: wvew.lifi.fr ojozef. Parallel and hybrid models for multi objective optimization ting point Fig. 5. Restriction ....
Meunier, H., Talbi, E-G., Reininger, P.: A multiobjective genetic algorithm for radio network optimization. Proceedings of the 2000 Congress on Evolutiorary Computation (2000) 314-324
Métaheuristiques pour l'optimisation combinatoire multi-objectif.. - Talbi Self-citation (Talbi) (Correct)
....de r eservation Pareto. Cas 1 : le nombre d individus non domin es est sup erieur a la taille de la population. Cas 2 : Sinon. A. 2 Elitisme Les travaux r ecents autour des m ethodes Pareto ont montr e l int eret de l elitisme pour une meilleure approximation de la fronti ere Pareto [103] 60][58]. L elitisme consiste a maintenir une population autre que la population courante, qui permet d archiver toutes les solutions Pareto optimales trouv ees durant la recherche. Cette population externe participe dans la d efinition des op erateurs g en etiques (s election, reproduction, etc. Dans ....
....son rang. Ceci permet d encourager implicitement la diversit e. L elitisme est tr es utilis e dans le processus de s election. Il consiste par exemple a r ealiser la s election des individus aussi bien de la population courante que des solutions non domin ees trouv ees pendant la recherche [64][58] (fig.15) L equation VII A est donc modifi ee de la mani ere suivante : pn = N Gamma A N S(N 1 Gamma Rn ) Rn Gamma 2 N (N Gamma 1) o u A est le nombre d individus s electionn es a partir de l ensemble PO courant. B. M ethodes de maintenance de la diversit e Dans la r esolution ....
H. Meunier, E-G. Talbi, and P. Reininger. A multiobjective genetic algorithm for radio network optimization. In Congress on Evolutionary Computation CEC'2000.
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Herve Meunier, El-Ghazali Talbi and Philippe Reininger; "A multiobjective genetic algorithm for radio network Optimization"; Proceedings of the 2000.
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Herve Meunier, El-Ghazali Talbi, and Philippe Reininger. A Multiobjective Genetic Algorithm for Radio Network Optimization, In 2000 Congress on Evolutionary Computation, volume 1, pages 317-324, Piscataway, New Jersey, July 2000. IEEE Service Center
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