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- Title
不确定条件下基于烟花算法的无人机任务分配.
- Authors
余稼洋; 郭建胜; 张晓丰; 解 涛; 姚 赛
- Abstract
UAV task allocation is a hot topic in recent years, while the research considering both uncertainty and multi-objective development is still in its infancy. Firstly, based on the uncertainty theory, this paper establishes a mathematical model of uncertain multi-objective task allocation with uncertain variables included in objective functions and constraint conditions, and introduces the expected value criterion and opportunity constraint to transform the model into an optimized deterministic one. Furthermore, in order to solve the problem of dealing with single objective problems only and overcome the shortcoming of the convergence speed of the traditional firework algorithm, a multi-objective firework algorithm with two-stage search is designed by introducing power-law distribution function and Levy variation operator, combined with multi-objective optimization theory and two-stage search strategy. Finally, the feasibility and effectiveness of the proposed model and algorithm are verified by example simulation.
- Subjects
DISTRIBUTION (Probability theory); MATHEMATICAL optimization; MATHEMATICAL models; SEARCH theory; SEARCH algorithms
- Publication
Journal of Ordnance Equipment Engineering, 2023, Vol 44, Issue 4, p104
- ISSN
2096-2304
- Publication type
Article
- DOI
10.11809/bqzbgcxb2023.04.015