Optimizing Unit Selection in Warhammer 40,000

16.10.2026 - We have recently been working on optimizing the unit selection process for the popular tabletop strategy game of Warhammer 40,000. We use evolutionary multi-objective optimization to optimize armies for combat strength and unit synergy while adhering to certain constraints that are required by the game rules. 

Our paper got accepted at the Conference on Evolutionary Computation Theory and Applications (ECTA), which is held in Angers, France, from 28 to 30 October 2026, and our paper got nominated for the best paper award.

• Carlo Nübel, Cedrik Weißbrich, and Sanaz Mostaghim
• Evolutionary Multi-Objective Unit Selection for Strategy Games: An Example in Warhammer 40,000
• Accepted at 2026 International Conference on Evolutionary Computation Theory and Applications (ECTA)
• Code: GitHub