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Table 1. R esultats de r ef erence. Dans la suite, les exp erimentation de l apos; evolution mim etique se feront dans le cadre ES (10+50), les bits a muter etant s electionn es par tournoi de taille 20, et le h eros (resp. le repoussoir) m emorisant le meilleur (resp. le pire) individu de la population. Les coe cients de relaxation du h eros et du repoussoir sont = 0 = :01. Les r esultats pr esent es sont les meilleurs r esultats obtenus en 200 000 evaluations, moyenn es sur 10 ex ecutions ind ependantes.

in Evolution Mimétique
by M. Peyral, A. Ducoulombier, C. Ravisé, M. Schoenauer, M. Sebag

Table 1. Summary colorimetric difference data for the twelve-member colour sets.

in unknown title
by unknown authors 2001

Table 2. Summary colorimetric difference data for the sixteen-member colour sets.

in unknown title
by unknown authors 2001

TABLE A5: Bond Energy Parameters (De , De , and De in

in ReaxFF sio reactive force field for silicon and silicon oxide systems
by Adri C. T. Van Duin, Ro Strachan, Shannon Stewman, Qingsong Zhang, Xin Xu, William A. Goddard 2003
Cited by 1

Table 2: De Jure and De Facto Classification

in On the Endogeneity of Exchange Rate Regimes
by Eduardo Levy-Yeyati Federico, Iliana Reggio, Eduardo Levy Yeyati, Federico Sturzenegger, Federico Sturzenegger, Business School, Torcuato Di Tella
"... In PAGE 10: ... (column vi). Table2 , replicates the previous tests using the IMF-based de jure classification.28 As expected, while the results are less satisfactory than for the de facto classification, the main messages remain unaltered.... ..."

Table 7: Percentage of improvement made by DE1-3 over DE on FE DE1 DE1 DE2 DE3

in Population Set Based Global Optimization Algorithms: Some Modifications and Numerical Studies
by M. M. Ali, A. Törn
"... In PAGE 14: ... Therefore, it will be interesting to see how much improvement (say, on FE) has been achieved by the proposed modi cations, given the same level of success. This is summarized in terms of percentage of improvement on FE in Table7 . Table 7 shows that a substantial improvement has been achieved by the proposed modi cations.... ..."

Tableau de gains Equilibres de Nash

in Jean-Paul COMET et Sandrine VIAL
by Laboratoire De Méthodes Informatiques

Table 9. De nition of

in Process algebra with nonstandard timing
by C. A. Middelburg 2001
"... In PAGE 14: ...ulation model M of ACPnsatI to M = ff : F ! M j 8v 2 F f(v) = ^ v abs(f(v))g and de ne the constants and operators of ACPnsatIp on M as in Table 8. The auxiliary function :M M ! M, used in the de nition of on M , is de ned in Table9 . We use p; q; : : : to denote elements of M, f; g; : : : to denote elements of M , and to denote elements of F ! M .... ..."
Cited by 4

Table 6 : De nition of ; and ?!

in Schedules for Multiset Transformer Programs
by Michel Chaudron 1996
"... In PAGE 9: ...haotic programs. The label is a sequence of multiset substitutions. The second, denoted hs; Mi ?! hs0; M0i, is the analogue for schedules, where is a sequence of multiset substitu- tions and quot; apos;s. The de nition of both relations is given in Table6 . We write 1 2 to denote the concatenation of 1 and 2.... ..."
Cited by 10

Table 14: De nition of .

in On the Decomposition of Real-Valued Functions
by Timothy Ross, Jeffrey A. Goldman, David A. Gadd, Michael J. Noviskey, Mark L. Axtell
"... In PAGE 11: ...egion as 1 ? y. So we have a column multiplicity of two, i.e. two regions, y and 1 ? y. Based on this, we can de ne as in Table14 and F as in Table 15. Just as which the decomposition of binary functions, this leaves us with the problem of representing .... ..."
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