07 - Systems, Subsystems and Equipment
MULTI SENSOR AND MULTI TASK ALLOCATION BASED ON IMPROVED WHALE OPTIMIZATION ALGORITHM
B. Yuan¹, S. Zhang¹, B. Wang, School of Electronic and Information, Northwestern Polytechnica, China; K. Zhang, School of Electronic and Information, Northwestern Polytechnical, China; ¹College of Aerospace Science and Engineering, National Universit, China
In response to the collaborative detection problem of UAV formations in cluster operations, this paper constructs an optimization model with detection benefits and detection costs as the objectives based on task priority, and designs an improved whale optimization algorithm to solve the model. Firstly, an elite population initialization based on multiple constraint conditions was proposed, and secondly, an improved method for updating whale individual positions was proposed by combining model characteristics. Subsequently, a local search strategy was designed to enable the algorithm to escape from local optima. Finally, the algorithm provides a set of non dominated solution sets for problem solving, allowing for the selection of more reasonable optimal solutions based on actual needs. On the one hand, the simulation experiment verified the effectiveness of the proposed algorithm in solving task allocation problems, and on the other hand, compared with other intelligent optimization algorithms, the improved whale optimization algorithm obtained a higher quality non dominated solution set, indicating that the algorithm has certain advantages.