Research on space immigration program and strategy based on multiple optimization algorithms

With the continuous development of technology, scientists predict that the day of human migration to space is getting closer and closer. Based on the space migration programme, this paper constructs various mathematical models. Based on data assumptions, this paper focuses on three problems and solves them separately by constructing appropriate mathematical models. For Problem 1, the number of transported spacecraft is optimised by a linear programming model. For problem 2, a simulated annealing algorithm is used to optimise the allocation of workers to maximise resource efficiency. For problem 3, a BP neural network optimised by a genetic algorithm is used to predict and optimise the strategy for dealing with random personnel and material losses. By meticulously and skillfully solving these three key problems, our research not only contributes to the smooth implementation of future space immigration programs, but also expands the field of mathematical modelling, demonstrating its unlimited potential to revolutionise all aspects of life.