TY - JOUR
T1 - Multi-Objective Cooperative Salvo Attack Against Group Target
AU - Zeng, Jie
AU - Dou, Lihua
AU - Xin, Bin
N1 - Publisher Copyright:
© 2018, Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - This paper proposes a solution for the problem of cooperative salvo attack of multiple cruise missiles against targets in a group. Synchronization of the arrival time of missiles to hit their common target, minimizing the time consumption of attack and maximizing the expected damage to group targets are taken into consideration simultaneously. These operational objectives result in a hierarchical mixed-variable optimization problem which includes two types of subproblems, namely the multi-objective missile-target assignment (MOMTA) problem at the upper level and the time-optimal coordinated path planning (TOCPP) problems at the lower level. In order to solve the challenging problem, a recently proposed coordinated path planning method is employed to solve the TOCPP problems to achieve the soonest salvo attack against each target. With the aim of finding a more competent solver for MOMTA, three state-of-the-art multi-objective optimization methods (MOMs), namely NSGA-II, MOEA/D and DMOEA-εC, are adopted. Finally, a typical example is used to demonstrate the advantage of the proposed method. A simple rule-based method is also employed for comparison. Comparative results show that DMOEA-εC is the best choice among the three MOMs for solving the MOMTA problem. The combination of DMOEA-εC for MOMTA and the coordinated path planning method for TOCPP can generate obviously better salvo attack schemes than the rule-based method.
AB - This paper proposes a solution for the problem of cooperative salvo attack of multiple cruise missiles against targets in a group. Synchronization of the arrival time of missiles to hit their common target, minimizing the time consumption of attack and maximizing the expected damage to group targets are taken into consideration simultaneously. These operational objectives result in a hierarchical mixed-variable optimization problem which includes two types of subproblems, namely the multi-objective missile-target assignment (MOMTA) problem at the upper level and the time-optimal coordinated path planning (TOCPP) problems at the lower level. In order to solve the challenging problem, a recently proposed coordinated path planning method is employed to solve the TOCPP problems to achieve the soonest salvo attack against each target. With the aim of finding a more competent solver for MOMTA, three state-of-the-art multi-objective optimization methods (MOMs), namely NSGA-II, MOEA/D and DMOEA-εC, are adopted. Finally, a typical example is used to demonstrate the advantage of the proposed method. A simple rule-based method is also employed for comparison. Comparative results show that DMOEA-εC is the best choice among the three MOMs for solving the MOMTA problem. The combination of DMOEA-εC for MOMTA and the coordinated path planning method for TOCPP can generate obviously better salvo attack schemes than the rule-based method.
KW - Coordinated path planning
KW - missile-target assignment
KW - multi-missile salvo attack
KW - multiobjective optimization
UR - http://www.scopus.com/inward/record.url?scp=85042728264&partnerID=8YFLogxK
U2 - 10.1007/s11424-018-7437-9
DO - 10.1007/s11424-018-7437-9
M3 - Article
AN - SCOPUS:85042728264
SN - 1009-6124
VL - 31
SP - 244
EP - 261
JO - Journal of Systems Science and Complexity
JF - Journal of Systems Science and Complexity
IS - 1
ER -