An Optimal Approach for Combat System-of-Systems Architecture Search Under Uncertainty

An Optimal Approach for Combat System-of-Systems Architecture Search Under Uncertainty

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turbo air m3f72-3-n The systematic and network-centric warfare becomes complicated currently.It is a challenge problem to design and choose the optimal combat system-of-systems to complete missions.In order to solve this challenge, we propose a super-network model based combat system-of-systems architecture (CSoSA) and a scheme space exploration algorithm in this paper.First, a formal definition of CSoSA is given based on the operational capability generation elements.The framework for CSoSA scheme space exploration problem is then presented.

The goal of the problem is to select the optimal architecture with maximized expected rewards and minimized cumulative costs.In addition, a novel and optimal algorithm for CSoSA dynamic exploration is proposed based on the greedy search algorithm.Finally, we evaluated our algorithm through simulation experiments, where the results showed that our algorithm is significantly better than several benchmark algorithms.In general, the proposed architecture framework and the exploration algorithm can assist commanders kt196 torque converter in making further decisions.