c++ Genetic Algorithm

Description - For this phase, you are to use genetic algorithm (GA) to evolve a smart behavior that will affect the scoring of the game. - You might think of evolving offensive/defensive plays/strategies, as an example of a new trend that can affect the score of the team. - You need to train the GA algorithm (online mode) to evolve a new good plan that can be used to enhance the way your team plays (offline mode) against the blue team. You should name your team. Your team is always the Red team - The knowledge that you obtained from the online mode will be used in the offline mode (a code without the GA algorithm and using the obtained knowledge). - Your modifications should be applied to the red team, while the other team is intact. - Compare the performance of this modification to the original implementation of the game. For this you will have to modify the game to be able to run 10 times, each for 5 minutes, and record the score for each game. - Don’t forget to use a timing function inside the code instead of using your watch for this! A competition! Please try to do your best in any of the phases of this project. Your grades will be determined based on your rank in accomplishing all the required tasks, discussion, and any extra executed tasks that can support your system, within the scope of our requirements! Deliverables  You will be asked to deliver the different components of the system, depending on the phase (as convenient). Only one member of your group need to submit these deliverables.  At the deadline of each phase, you will have to submit the answers, if any, for the questions, and a compressed folder of the modified code, with any needed instructions to run your code, in addition to screenshots, if necessary.  Requirements and design documents: o You need to make a title page, o Summary describing how your design was carried out. o Also you need to list the data requirements for such a phase.