UAV task allocation based on firework algorithm under uncertain conditions

DOI:	10.11809/bqzbgcxb2023.04.015
Keywords:	uncertainty theory; UAV multi objective task allocation; firework algorithm; power law distribution; Levy variation; two stage search
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.
Issue:	Vol. 44 No. 4 (2023)
Published:	2023-04-28
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