TY - GEN
T1 - Order whale optimization algorithm in rendezvous orbit design
AU - Ruiye, Jiang
AU - Tao, Chao
AU - Songyan, Wang
AU - Ming, Yang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/8
Y1 - 2018/6/8
N2 - A rising meta-heuristic swarm intelligent computation algorithm, whale optimization algorithm (WOA) has been proved competitive with other intelligent optimization algorithms in solving different optimization problems. This paper has proposed a new improved algorithm, named Order Whale Optimization Algorithm (OWOA). To enhance the initial values properties, the basic concept of Latin hypercube sampling has been introduced. Then the setting method of parameters in WOA is associated with the order of fitness value. Through comparing the optimal results of 8 benchmark functions calculated by these manners, OWOA is proved effective, which is capable of accelerating the convergence rate obviously. Then the improved algorithm is used to optimize the transfer time in the Lambert problem, which is to determine the rendezvous orbit between two scheduled positions. In the end, the rendezvous orbit consumed the minimum fuels is achieved.
AB - A rising meta-heuristic swarm intelligent computation algorithm, whale optimization algorithm (WOA) has been proved competitive with other intelligent optimization algorithms in solving different optimization problems. This paper has proposed a new improved algorithm, named Order Whale Optimization Algorithm (OWOA). To enhance the initial values properties, the basic concept of Latin hypercube sampling has been introduced. Then the setting method of parameters in WOA is associated with the order of fitness value. Through comparing the optimal results of 8 benchmark functions calculated by these manners, OWOA is proved effective, which is capable of accelerating the convergence rate obviously. Then the improved algorithm is used to optimize the transfer time in the Lambert problem, which is to determine the rendezvous orbit between two scheduled positions. In the end, the rendezvous orbit consumed the minimum fuels is achieved.
KW - Benchmark functions
KW - Latin hypercube sampling
KW - Rendezvous orbit
KW - Whale optimization algorithm
UR - https://www.scopus.com/pages/publications/85049789263
U2 - 10.1109/ICACI.2018.8377588
DO - 10.1109/ICACI.2018.8377588
M3 - 会议稿件
AN - SCOPUS:85049789263
T3 - Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018
SP - 97
EP - 102
BT - Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Advanced Computational Intelligence, ICACI 2018
Y2 - 29 March 2018 through 31 March 2018
ER -