Distributed multi-agent TEWA algorithms for force-level battle management: a scalable approach for real-time decision-making in dynamic combat environments

As modern combat scenarios become increasingly complex, with multiple platforms and assets operating in contested environments, there is a growing need for sophisticated, scalable solutions that can manage the real-time decision-making process across multiple agents. This project seeks to create a robust, distributed TEWA system capable of optimizing weapon-target allocations under dynamic conditions.