Minimizing risk on a fleet mix problem with a multiobjective evolutionary algorithm
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Context Reasoning through a Multiple Logic Framework
IE '10 Proceedings of the 2010 Sixth International Conference on Intelligent Environments
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Computational simulations appear as suitable solution for training military forces with a reduced operational cost. Such simulations require solutions that include models that must be close to reality. This work proposes a solution for an important part of warfare simulation: strategy. Hughes [1] explains that in "Modern Warfare", the strategy is the highest level resource, because considers other integrated and non-precision variables. Using Genetic Algorithm (GA) and Fuzzy Logic (FL), this work aims to provide a combat strategy optimization, considering: improvement of the probability to cause damage on enemy fleet and minimization of two others variables: mission's cost and risk. The results indicate that model can be extended and incorporated into a real warfare simulation environment