diff --git a/DESCRIPTION b/DESCRIPTION
index dd0e746f2aaff2997ed4343b82b707226b9b30f6..4d592a5763eb956c6e2eba45223dfd17218cce95 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Package: airGR
 Type: Package
 Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
-Version: 1.0.9.68
-Date: 2017-12-05
+Version: 1.0.9.69
+Date: 2017-12-06
 Authors@R: c(
   person("Laurent", "Coron", role = c("aut", "trl")),
   person("Charles", "Perrin", role = c("aut", "ths")),
diff --git a/vignettes/V00_airgr_ref.bib b/vignettes/V00_airgr_ref.bib
index 57f7e9a8d6b6d31a2243b153d38bb16995e0864e..fea3ee5c3d21b08743e837ff7d5d974402076cc1 100644
--- a/vignettes/V00_airgr_ref.bib
+++ b/vignettes/V00_airgr_ref.bib
@@ -26,7 +26,7 @@
 @phdthesis{le_moine_bassin_2008,
 	title = {Le bassin versant de surface vu par le souterrain : une voie d’amélioration des performances et du réalisme des modèles pluie-débit ?},
 	url = {http://webgr.irstea.fr/wp-content/uploads/2012/07/2008-LE_MOINE-THESE.pdf},
-	school = {Université Pierre et Marie Curie - Paris VI},
+	school = {Université Pierre et Marie Curie, Paris 6},
 	author = {Le Moine, Nicolas},
 	year = {2008},
 	keywords = {airGR, IRSTEA-HBAN-HYDRO},
diff --git a/vignettes/V02.1_param_optim.Rmd b/vignettes/V02.1_param_optim.Rmd
index 42da9a0092f72ddc9f91ed9d06676bf8b498c085..d2db40466ec2317b7d734ddc8f17a65522d5c26d 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)
 ```
 
 
@@ -29,7 +29,7 @@ The Michel's calibration strategy (`Calibration_Michel()` function) is the calib
 We show here how to use different R packages to perform parameter estimation.
 
 In this vignette, we use the **GR4J** model to illustrate the different optimization strategies.
-In particular, we assume that the R global environment contains input climate data, observed discharge and functions from the **airGR** [Get Started](V01_get_started.html) vignette, as shown below.
+In particular, we assume that the R global environment contains input climate data, observed discharge and functions from the [Get Started](V01_get_started.html) vignette, as shown below.
 Please note that the calibration period is defined in the `CreateRunOptions()` function .
 
 ```{r, warning=FALSE, fig.keep='none', results='hide', fig.height=10, fig.width=10, eval=TRUE, echo=FALSE, message=FALSE}
diff --git a/vignettes/V02.2_param_mcmc.Rmd b/vignettes/V02.2_param_mcmc.Rmd
index ab4feb30d12c2cf19b66a740dc7a27a252d64da9..768b388c6826033bd298ea3ff8bbf954f0ea1d43 100644
--- a/vignettes/V02.2_param_mcmc.Rmd
+++ b/vignettes/V02.2_param_mcmc.Rmd
@@ -17,6 +17,7 @@ library(FME)
 library(ggmcmc)
 library(dplyr)
 # source("airGR.R")
+set.seed(123)
 ```
 
 
diff --git a/vignettes/V03_param_sets_GR4J.Rmd b/vignettes/V03_param_sets_GR4J.Rmd
index 3b2dc8193abcd911213637b93b905d0338f31b34..8cc407c058ca5abbd905781f3da15ccf96e307f6 100644
--- a/vignettes/V03_param_sets_GR4J.Rmd
+++ b/vignettes/V03_param_sets_GR4J.Rmd
@@ -63,7 +63,7 @@ summary(Param_Sets_GR4J)
 
 ## Object model preparation
 
-We assume that the R global environment contains data and functions from the **airGR** [Get Started](V01_get_started.html) vignette.
+We assume that the R global environment contains data and functions from the [Get Started](V01_get_started.html) vignette.
 
 The calibration period has been defined from **1990-01-01** to **1990-02-28**, and the validation period from **1990-03-01** to **1999-12-31**.