Spacecraft Multiple-Impulse Trajectory Optimization Using Differential Evolution Algorithm with Combined Mutation Strategies and Boundary-Handling Schemes

Table 8

Best results of Cassini mission optimized by the compared algorithms.

Algorithms	Objective function value
DE/rand/1	15.6583
DE/current-to-best/1	11.6284
MDE_pBX	8.3830
DE_CMS + “whole_rand”	9.8373
DE_CMS + “current_rand”	8.3830
DE_CMS + “reflect_rand”	9.0926
DE_CMS + “cut_off”	8.6173
“DE/rand/1” + DE_CBHS	12.8243
“DE/rand/2” + DE_CBHS	12.1534
“DE/current-to-rand/1” + DE_CBHS	11.3536
“DE/current-to-best/1” + DE_CBHS	8.7052
DE_CMSBHS	8.3829