TY - GEN
T1 - UAV route evaluation algorithm based on CSA-AHP and TOPSIS
AU - Li, Xiaoyang
AU - Zhou, Deyun
AU - Yang, Zhen
AU - Huang, Jichuan
AU - Zhang, Kun
AU - Pan, Qian
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/20
Y1 - 2017/10/20
N2 - This paper presents a UAV route evaluation algorithm based on CSA-AHP and TOPSIS to solve the problem of UAV route evaluation. First, the model of CSA-AHP and TOPSIS algorithm is proposed. The improved CSA algorithm is adopted in this paper to check consistency, in order to ensure the decision maker is consistent in ranking the attributes. Second, a new AHP model of UAV route evaluation based on the difference between the route is designed, and two new attributes are proposed to describe the difference between the route. Finally, the UAV route evaluation model based on CSA-AHP and TOPSIS is established. Experiments indicate that the proposed AHP model of UAV route evaluation and the CSA-AHP algorithm are feasible and effective.
AB - This paper presents a UAV route evaluation algorithm based on CSA-AHP and TOPSIS to solve the problem of UAV route evaluation. First, the model of CSA-AHP and TOPSIS algorithm is proposed. The improved CSA algorithm is adopted in this paper to check consistency, in order to ensure the decision maker is consistent in ranking the attributes. Second, a new AHP model of UAV route evaluation based on the difference between the route is designed, and two new attributes are proposed to describe the difference between the route. Finally, the UAV route evaluation model based on CSA-AHP and TOPSIS is established. Experiments indicate that the proposed AHP model of UAV route evaluation and the CSA-AHP algorithm are feasible and effective.
KW - analytic hierarchy process (AHP)
KW - clonal selection algorithm (CSA)
KW - comprehensive assessment
KW - route evaluation
KW - technique for order preference by similarity to an ideal solution (TOPSIS)
UR - https://www.scopus.com/pages/publications/85039933050
U2 - 10.1109/ICInfA.2017.8079033
DO - 10.1109/ICInfA.2017.8079033
M3 - 会议稿件
AN - SCOPUS:85039933050
T3 - 2017 IEEE International Conference on Information and Automation, ICIA 2017
SP - 915
EP - 920
BT - 2017 IEEE International Conference on Information and Automation, ICIA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Information and Automation, ICIA 2017
Y2 - 18 July 2017 through 20 July 2017
ER -