new

diff --git a/BookGPU/Chapters/chapter9/biblio9.bib b/BookGPU/Chapters/chapter9/biblio9.bib
index 7c4248c834e1d9a4d2bff23fd0decaf32484708a..9784f93d9ee05657d30e4a8759cf0bd30a2485d2 100644 (file)
--- a/BookGPU/Chapters/chapter9/biblio9.bib
+++ b/BookGPU/Chapters/chapter9/biblio9.bib
@@ -48,7 +48,7 @@
 @article{Ahuja:2007:VLN:1528422.1528438,
  author = {R. K. Ahuja and K. C. Jha and J. B. Orlin and D. Sharma},
  title = {Very Large-Scale Neighborhood Search for the Quadratic Assignment Problem},
- journal = {INFORMS J. on Computing},
+ journal = {INFORMS Journal on Computing},
  issue_date = {Fall 2007},
  volume = {19},
  number = {4},
@@ -306,7 +306,7 @@ pages = {1403--1410},
 
 @inproceedings{kannan,
  author = {S. Kannan and R. Ganji},
- title = {{Porting AutoDock to Cuda}},
+ title = {{Porting AutoDock to CUDA}},
  booktitle = {IEEE Congress on Evolutionary Computation},
  series = {CEC2010},
  year = {2010}
@@ -346,7 +346,7 @@ booktitle={Applications of Evolutionary Computation},
 volume={6024},
 series={Lecture Notes in Computer Science},
 doi={10.1007/978-3-642-12239-2_46},
-title={{Parallel genetic algorithm on the Cuda architecture}},
+title={{Parallel genetic algorithm on the CUDA architecture}},
 url={http://dx.doi.org/10.1007/978-3-642-12239-2_46},
 publisher={Springer Berlin Heidelberg},
 author={P. Pospichal and J. Jaros and J. Schwarz},
@@ -361,7 +361,7 @@ volume={5821},
 series={Lecture Notes in Computer Science},
 editor={Cai, Zhihua and Li, Zhenhua and Kang, Zhuo and Liu, Yong},
 doi={10.1007/978-3-642-04843-2_4},
-title={Implementation of Parallel Genetic Algorithm Based on Cuda},
+title={Implementation of Parallel Genetic Algorithm Based on {CUDA}},
 url={http://dx.doi.org/10.1007/978-3-642-04843-2_4},
 publisher={Springer Berlin Heidelberg},
 keywords={Genetic Algorithm; Parallel Genetic Algorithm; Cuda},
@@ -408,8 +408,8 @@ pages={24-30}
 
 @inproceedings{arenas2011,
  author = {M. G. Arenas and A. M. Mora and G. Romero and P. A. Castillo},
- title = {{GPU computation in bioinspired algorithms: a review}},
- booktitle = {Proceedings of the 11th International Conference on Artificial Neural Networks Conference on Advances in Computational Intelligence, Volume Part I},
+ title = {{GPU computation in bioinspired algorithms: A review}},
+ booktitle = {{Proceedings of the 11th International Conference on Artificial Neural Networks Conference on Advances in Computational Intelligence, Volume Part I}},
  series = {IWANN'11},
  pages = {433--440},
   year = {2011}
@@ -483,7 +483,7 @@ pages={24-30}
 }
 
 @inproceedings{Arora_et_al_2010,
-  title={{Parallelization of binary and real-coded genetic algorithms on GPU using Cuda}},
+  title={{Parallelization of binary and real-coded genetic algorithms on GPU using CUDA}},
   author={R. Arora and R. Tulshyan and K. Deb},
   booktitle={Evolutionary Computation (CEC), 2010 IEEE Congress on},
   pages={1--8},
@@ -492,7 +492,7 @@ pages={24-30}
 }
 
 @article{Munawar_et_al_2009hybrid,
-  title={{Hybrid of genetic algorithm and local search to solve max-sat problem using nvidia Cuda framework}},
+  title={{Hybrid of genetic algorithm and local search to solve max-sat problem using nvidia CUDA framework}},
   author={A. Munawar and M. Wahib and M. Munetomo and K. Akama},
   journal={Genetic Programming and Evolvable Machines},
   volume={10},
@@ -537,8 +537,9 @@ pages={24-30}
 }
 
 
-@article{Cuda,
-title = {{NVIDIA Cuda C Programming Best Practices Guide, http://developer.download.nvidia.com/compute/Cuda/2\_3/toolkit/docs/NVIDIA\_Cuda\_BestPracticesGuide\_2.3.pdf.}}
+@MISC{Cuda,
+title = {{NVIDIA CUDA C Programming Best Practices Guide}},
+note={http://docs.nvidia.com/cuda/cuda-c-best-practices-guide/}
 }
 
 @article{nowotniak,