Create README.md

Author: levibyte

README.md

@@ -0,0 +1,37 @@
+# PyQt Genetic Algo
+Simple implementation and visualisation of genetic algorithm in work using Python & Qt. 
+
+### Backround
+Genetic algorithm is special technique for solving optimization problems,
+specialy in places where there are a lot of combinations and finding optimal solotion by simply brute-forcing is impossible.
+
+### The task to solve
+The Aim of this project is to demonstrate optimized cell placement to complete efficient routing
+Optimization should meet following criterias.
+* Each node when moved should preserve it's connectivity ( parent & child connections )
+* Cell position can be adjusted within same colum ( cell can be only poped/pushed vertically, horizontal moves not allowed)
+* Intersections/crossings beetween  should be minimal.
+
+### Implementation
+I've used MVC pattern to abstract the data from renderer.
+Theortically should be possible to add any view that can will use get_data function returning 2D array of nodes used and renderer them.
+
+
+### Examples 
+*Left:* Initial placmenet                                                                                   *Right:* optimized placement
+
+<img src="https://i.ibb.co/SDSzVrK/before.png" width="400" height="300">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
+<img src="https://i.ibb.co/ScSMY6k/after.png" width="400" height="300">
+
+
+
+### More complicated cases
+
+Placement before ( 51 crossings )
+<img src="https://i.ibb.co/YDR5PKS/1.png">
+
+
+Optimized ( 1 crossing )
+<img src="https://i.ibb.co/2dmL5sC/2.png">
+
+