Research on multi-objective intelligent planning algorithm

摘要

In order to solve the difficult problem of multi-objective planning, on the relevant introduced issue, firstly the paper describes multi-objective planning methods; then GAPS-MMA (Genetic Algorithm based Pareto Set for Multi-objective Mission-planning Algorithm) is completed, the main part of the algorithm, namely computing fitness value and updating Pareto sets, are focused on research, and the process of GAPS-MMA is given; finally, take an air vehicle route planning for example, through the comparison between GAPS-MMA and SA (simulated annealing algorithm), the better global optimal solution is gotten by GAPS-MMA. It is proved that GAPS-MMA algorithm is more scientific and reasonable by the example.