add links to example to README

Author: SimonBlanke

README.md

@@ -115,29 +115,29 @@ Hyperactive features a collection of optimization algorithms that can be used fo
             <li><a href="./examples/optimization_techniques/hill_climbing.py">Hill Climbing</a></li>
             <li><a href="./examples/optimization_techniques/repulsing_hill_climbing.py">Repulsing Hill Climbing</a></li>
             <li><a href="./examples/optimization_techniques/simulated_annealing.py">Simulated Annealing</a></li>
-            <li>Downhill Simplex Optimizer</li>
+            <li><a href="./examples/optimization_techniques/downhill_simplex.py">Downhill Simplex Optimizer</a></li>
          </ul><br>
         <a><b>Global Search:</b></a>
           <ul>
             <li><a href="./examples/optimization_techniques/random_search.py">Random Search</a></li>
-            <li>Grid Search Optimizer</li>
+            <li><a href="./examples/optimization_techniques/grid_search.py">Grid Search</a></li>
             <li><a href="./examples/optimization_techniques/rand_rest_hill_climbing.py">Random Restart Hill Climbing</a></li>
             <li><a href="./examples/optimization_techniques/random_annealing.py">Random Annealing</a> [<a href="#/./overview#experimental-algorithms">*</a>] </li>
-            <li>Powell's Method</li>
-            <li>Pattern Search</li>
+            <li><a href="./examples/optimization_techniques/pattern_search.py">Powell's Method</a></li>
+            <li><a href="./examples/optimization_techniques/powells_method.py">Pattern Search</a></li>
          </ul><br>
         <a><b>Population Methods:</b></a>
           <ul>
             <li><a href="./examples/optimization_techniques/parallel_tempering.py">Parallel Tempering</a></li>
             <li><a href="./examples/optimization_techniques/particle_swarm_optimization.py">Particle Swarm Optimizer</li>
-            <li>Spiral Optimization</li>
+            <li><a href="./examples/optimization_techniques/spiral_optimization.py">Spiral Optimization</li>
             <li><a href="./examples/optimization_techniques/evolution_strategy.py">Evolution Strategy</a></li>
           </ul><br>
         <a><b>Sequential Methods:</b></a>
           <ul>
             <li><a href="./examples/optimization_techniques/bayesian_optimization.py">Bayesian Optimization</a></li>
-            <li>Lipschitz Optimization</li>
-            <li>Direct Algorithm</li>
+            <li><a href="./examples/optimization_techniques/lipschitz_optimization.py">Lipschitz Optimization</a></li>
+            <li><a href="./examples/optimization_techniques/direct_algorithm.py">Direct Algorithm</a></li>
             <li><a href="./examples/optimization_techniques/tpe.py">Tree of Parzen Estimators</a></li>
             <li><a href="./examples/optimization_techniques/forest_optimization.py">Forest Optimizer</a>
             [<a href="#/./overview#references">dto</a>] </li>