TY - GEN
T1 - Fireworks algorithm for the multi-satellite control resource scheduling problem
AU - Liu, Zhenbao
AU - Feng, Zuren
AU - Ke, Liangjun
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/10
Y1 - 2015/9/10
N2 - In this study, fireworks algorithm (FWA) for the multi-satellite control resource scheduling problem (MSCRSP) is presented. FWA is a meta-heuristic method and widely used in continuous problems while MSCRSP is a constrained and large scale combinatorial problem. The key points of FWA are to define a suitable neighborhood structure for launching the local search procedure and to find a metric for quantifying the disparity between solutions. Three kinds of neighborhood structures are presented and the best fitted one is picked. Due to the speciality of this problem, each solution is transformed into a binary vector, and Hamming distance is adopted for defining disparity metric. The experimental results demonstrate the proposed FWA is more competitive than those commonly used methods.
AB - In this study, fireworks algorithm (FWA) for the multi-satellite control resource scheduling problem (MSCRSP) is presented. FWA is a meta-heuristic method and widely used in continuous problems while MSCRSP is a constrained and large scale combinatorial problem. The key points of FWA are to define a suitable neighborhood structure for launching the local search procedure and to find a metric for quantifying the disparity between solutions. Three kinds of neighborhood structures are presented and the best fitted one is picked. Due to the speciality of this problem, each solution is transformed into a binary vector, and Hamming distance is adopted for defining disparity metric. The experimental results demonstrate the proposed FWA is more competitive than those commonly used methods.
UR - https://www.scopus.com/pages/publications/84963631522
U2 - 10.1109/CEC.2015.7257036
DO - 10.1109/CEC.2015.7257036
M3 - 会议稿件
AN - SCOPUS:84963631522
T3 - 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
SP - 1280
EP - 1286
BT - 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Congress on Evolutionary Computation, CEC 2015
Y2 - 25 May 2015 through 28 May 2015
ER -