Add accents

README.md

@@ -123,13 +123,13 @@ Most exercises consists in adding a single function in an existing module
 (or your own module) and use assemble it in the main executable.
 
 1. Implement a simulated annealing.
-    You can use num_simulated_annealing or bit_simulated_annealing solver
+    You can use `num_simulated_annealing` or `bit_simulated_annealing` solver
 2. Implement an evolutionary algorithm.
-    You can use num_genetic or bit_genetic
+    You can use `num_genetic` or `bit_genetic`
 3. Implement an expected run time empirical cumulative density function.
-    You can call draw_ert.py with -N option for the number of run and -v option to choose a target value
+    You can call `draw_ert.py` with -N option for the number of run and -v option to choose a target value
 4. Implement a simple design of experiment to determine the best solver.
-    You can use try_solver to list the different parameter you want to try and get the best parameter
+    You can use `try_solver.py` to list the different parameter you want to try and get the best parameter
 5. Provide a solver for a competition.
-    For the competion, symply use my num_greedy
+    For the competion, symply use my `num_greedy`