Multi-task allocation method based on chaos Levy multi-target fireworks algorithm

The invention provides a multi-task allocation method based on a chaos Levy multi-target fireworks algorithm. The method comprises the following steps: constructing a multi-target multi-unmanned aerial vehicle task allocation model of a preset optimization target; performing iterative solution on the multi-target multi-unmanned aerial vehicle task allocation model based on a chaos mechanism and a Levy variation multi-target fireworks algorithm; and completing multi-unmanned aerial vehicle task allocation based on an iterative solution result. According to the method, a chaos idea is introduced to generate a better initial group, and repeated local optimization of the algorithm is avoided; a level mutation operator is adopted in the search process, so that the population diversity is increased, and the global search capability of the algorithm is improved; and finally, selecting the next generation of fireworks population by adopting an elite selection strategy to shorten the operation time of the algorithm. 本