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The traditional fault isolation strategy based on the rollout algorithm will increase the algorithm time complexity and use too many test points. The optimization strategy of tests for fault isolation based on rollout algorithm can solve these problems, and make the final optimization result is still better than the normal rollout algorithm. This optimization strategy not only makes the rollout algorithm effective, maximizes the system fault isolation rate, but also reduces the time complexity of the algorithm, reduces the use of unnecessary tests, simplifies the complexity of the system, and improves the compatibility of the algorithm for complex systems. The principle of this optimization strategy is to perform fault isolation operations on all tests before using the rollout algorithm, and then use the rollout algorithm to sort the tests after selecting the necessary tests. Finally, the theoretical and case analysis results prove that the optimization strategy can use the least tests under the premise of ensuring the maximum fault isolation rate, reduce the time complexity of the rollout algorithm, and is suitable for optimizing the fault diagnosis of complex systems.