Competitive coevolution for micromanagement in StarCraft: Brood War

Context.​​ ​Interest​ ​in​ ​and​ ​research​ ​on​ ​neural​ ​networks​ ​and​ ​their​ ​capacity​ ​for​ ​finding​ ​solutions to​ ​nonlinear​ ​problems​ ​has​ ​increased​ ​greatly​ ​in​ ​recent​ ​years. Objectives.​​ ​This​ ​thesis​ ​attempts​ ​to​ ​compare​ ​competitive​ ​coevolution​ ​to​ ​traditional neuroevolution​ ​in​ ​the​ ​game​ ​StarCraft:​ ​Brood​ ​War. Methods.​​ ​Implementing​ ​and​ ​evolving​ ​AI-controlled​ ​players​ ​for​ ​the​ ​game​ ​StarCraft​ ​and evaluating​ ​their​ ​performance. Results.​​ ​Fitness​ ​values​ ​and​ ​win​ ​rates​ ​against​ ​the​ ​default​ ​StarCraft​ ​AI​ ​and​ ​between​ ​the networks​ ​were​ ​gathered. Conclusions.​​ ​The​ ​neural​ ​networks​ ​failed​ ​to​ ​improve​ ​under​ ​the​ ​given​ ​circumstances.​ ​The​ ​best networks​ ​performed​ ​on​ ​par​ ​with​ ​the​ ​default​ ​StarCraft​ ​AI.