Update README.md

Author: arjendeetman

README.md

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 # GCMMA-MMA-Python
 Python code of the Method of Moving Asymptotes ([Svanberg, 1987](https://onlinelibrary.wiley.com/doi/abs/10.1002/nme.1620240207)). Based on the GCMMA-MMA-code written for MATLAB by Krister Svanberg. The original work was taken from http://www.smoptit.se/ under the GNU General Public License. If you download and use the code, Krister Svanberg would appreciate if you could send him an e-mail and tell who you are and what your plan is (e-mail adress can be found on his website). The user should reference to the academic work of Krister Svanberg when work will be published. References can be find below. An example application in topology optimization can be found [here](https://github.com/arjendeetman/TopOpt-MMA-Python).
 
+## References
+
+Svanberg, K. (1987). The Method of Moving Asymptotes – A new method for structural optimization. International Journal 
+for Numerical Methods in Engineering 24, 359-373. [doi:10.1002/nme.1620240207](https://onlinelibrary.wiley.com/doi/abs/10.1002/nme.1620240207)
+ 
+Svanberg, K. (n.d.). MMA and GCMMA – two methods for nonlinear optimization. Retrieved August 3, 2017 from  
+https://people.kth.se/~krille/mmagcmma.pdf 
+
 ## Used in
 
 Morin, R., Kim, I.Y. Partitioning a topology-optimized structure into additively manufacturable parts using a feature-mapping approach: a novel decomposition optimization method. Struct Multidisc Optim 65, 298 (2022). [https://doi.org/10.1007/s00158-022-03394-8](https://link.springer.com/article/10.1007/s00158-022-03394-8)
@@ -9,8 +17,6 @@ Frederiksen, A.H., Sigmund, O. & Poulios, K. Topology optimization of self-conta
 
 Fernandes P, Ferrer À, Gonçalves P, Parente M, Pinto R, Correia N. Stress-Constrained Topology Optimization for Commercial Software: A Python Implementation for ABAQUS®. Applied Sciences. 2023; 13(23):12916. [https://doi.org/10.3390/app132312916](https://www.mdpi.com/2076-3417/13/23/12916)
 
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 ## License
 Original work written in MATLAB: Copyright (c) Krister Svanberg
 
@@ -21,13 +27,3 @@ GCMMA-MMA-Python is free software; you can redistribute it and/or modify it unde
 This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
 
 You should have received a copy of the GNU General Public License (file LICENSE) along with this file.  If not, see <http://www.gnu.org/licenses/>.
-
-## References
-
-[Svanberg, K. (1987). The Method of Moving Asymptotes – A new method for structural optimization. International Journal 
-for Numerical Methods in Engineering 24, 359-373. doi:10.1002/nme.1620240207](https://onlinelibrary.wiley.com/doi/abs/10.1002/nme.1620240207)
- 
-Svanberg, K. (n.d.). MMA and GCMMA – two methods for nonlinear optimization. Retrieved August 3, 2017 from  
-https://people.kth.se/~krille/mmagcmma.pdf 
-
-