Asynchronous Agent Based Computing for Military Vehicle Scheduling and Planning

Under the warfare and other emergent environment, military vehicle scheduling and planning is subject to complex sets of objectives and constraints and thus is difficult to achieve high-quality solutions. The paper proposes a distributed computing framework to support effective military vehicle scheduling, in which asynchronous teams of intelligent agents cooperate with each other to produce a set of nondominated solutions that show the tradeoffs between objectives, and evolve a population of solutions towards a Pareto-optimal frontier. Experimental results demonstrate the capability and effectiveness of our approach.