Methods based on random forest and gradient boosting regression tree are proposed in order to improve the problem of subjective experience and high cost of calculation time in the effectiveness evaluation of anti-ship missile.By constructing a 3-layer and 19-component anti-ship missile effectiveness evaluation index system,240 operational parameter data samples of anti-ship missile in different states are set up by the improved ADC evaluation model,then the data set is segmented and normalized,combining with cross validation and grid search,two ideal decision tree integration effectiveness evaluation models are obtained.In the simulation test,the accuracy of the two models is high,which proves the practicability of the method and provides new ideas for anti-ship missile effectiveness evaluation.

To study the calculation method of launch window in space fly-by problem, and the influence of different initial phase angles on it, a method is proposed. The general variable law to solve the Lambert problem is studied. On this basis, the process and timing sequence of space fly-by are analyzed. A method to calculate the launch window satisfying the constraints of fuel consumption and fly-by time is proposed with the influence of different initial phase angles. The length and region of launch window can be obtained through the method. Simulation results indicate that the method is effective and can provide valuable references for the orbital planning and design of space fly-by missions.