Optimizing Planet Wars bot using an immune-based algorithm

This work presents an Artificial immune system algorithm (AIS) for a real-time strategy game: Planet Wars. This game requires the bot to reach some adaptabilities with the aim to beat different enemies in different maps. This Algorithm uses an evolutionary strategy to evolve a set of parameters for an autonomous agent (bot) to achieve some goals in the game. In order to optimize the behavior of the bot, the AIS was applied to tune the set of rules. We have run several experiments in different situations obtaining encouraging results.