Multi-obj ective Intelligent Planning Algorithm
JIN Qi
JIANG Min
SONG Zijian
Abstract：In order to solve the difficult problem of multi-obj ective planning,on the basis of introducing of relevant is-sues,firstly the paper describes multi-obj ective planning methods,then GAPS-MMA (Genetic Algorithm based Pareto Set for Multi-obj ective Mission-planning Algorithm)is completed,the main part of the algorithm,namely computing fitness val-ue and updating Pareto sets are focused on research,and the process of GAPS-MMA is given.Finally,an air vehicle route planning for example is taken,through the comparison for 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.
Keywords：multi-obj ectiveintelligent planningevolutionary algorithmGAPS-MMA
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 2160-2163,2197 )