Near Space Vehicle Trajectory Optimization Approach Based on Hybrid SVM and GA Algorithm
Wang Zi-cai · Journal of Astronautics · 2012
A high efficient hybrid algorithm based on support vector machine(SVM) and genetic algorithm(GA) is proposed for near space vehicle trajectory optimization with multiple constraints.The mathematical model for trajectory optimization is derived and the trajectory optimization problem is converted into a parameter optimization problem through parameterization and penalty function approach.The parameter optimization problem is solved by a hybrid trajectory optimization algorithm,in which SVM is used to classify chromosomes generated during GA operation in order to eliminate unfitted chromosomes and accelerate optimization speed An example used for downrange optimization in the proposed algorithm is presented,and simulation results show that the proposed approach is more efficient than the approach based on basic GA.