Abstract: A hybrid index of fuel-time on the basis of C-W equations was built for the spacecraft optimal rendezvous problem， and an amended harmony search (AHS) algorithm was proposed to solve this problem. In the AHS algorithm， a global uniform learning operation was presented that the guidance of the current global best harmony was utilized and the pitch adjusting operation was replaced， resulting in the enhancement of the balance between the global search and local search. The PAR was dynamically adjusted to adapt the search process of algorithm. Several optimal rendezvous cases were used to test the effectiveness of AHS algorithm， and it was verified by the numerical results that correct satisfied results could be obtained with the proposed AHS algorithm， which is better than that of the other algorithms.

Key words: optimal rendezvous problem, amended harmony search algorithm, global uniform learning, global search, local search