diff --git a/DESCRIPTION b/DESCRIPTION
index f0ddec087568820234751a9787dd919d320b3593..e0320a8efa90762d95b99825b2b42f3aa5ec5f26 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Package: airGR
 Type: Package
 Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
-Version: 1.0.9.75
-Date: 2018-02-01
+Version: 1.0.9.76
+Date: 2018-04-04
 Authors@R: c(
   person("Laurent", "Coron", role = c("aut", "trl")),
   person("Charles", "Perrin", role = c("aut", "ths")),
diff --git a/NEWS.rmd b/NEWS.rmd
index 4c5f9fa52de18517a43d634b8a0db859ab60d669..a75ba970fbf603ac30fcf30a8dfef477fe552043 100644
--- a/NEWS.rmd
+++ b/NEWS.rmd
@@ -14,7 +14,7 @@ output:
 
 
 
-### 1.0.9.75 Release Notes (2018-02-01) 
+### 1.0.9.765 Release Notes (2018-04-04) 
 
 
 ____________________________________________________________________________________
diff --git a/vignettes/V02.1_param_optim.Rmd b/vignettes/V02.1_param_optim.Rmd
index d2db40466ec2317b7d734ddc8f17a65522d5c26d..3ccc7b492a1000d3a8cdff13b76be2b04792c351 100644
--- a/vignettes/V02.1_param_optim.Rmd
+++ b/vignettes/V02.1_param_optim.Rmd
@@ -16,7 +16,7 @@ library(DEoptim)
 library(hydroPSO)
 library(Rmalschains)
 # source("airGR.R")
-set.seed(123)
+set.seed(321)
 ```
 
 
@@ -154,7 +154,7 @@ optMALS <- Rmalschains::malschains(fn = OptimGR4J,
 As it can be seen in the table below, the four additional optimization strategies tested lead to very close optima.
 
 ```{r, warning=FALSE, echo=FALSE}
-data.frame(Algo = c("Michel", "PORT", "DE", "PSO", "MA-LS"), 
+data.frame(Algo = c("airGR", "PORT", "DE", "PSO", "MA-LS"), 
            round(rbind(
                                                 OutputsCalib$ParamFinalR                          ,
              airGR::TransfoParam_GR4J(ParamIn = optPORT$par                    , Direction = "TR"),