Optimized formation assignment for large-scale air fleet using fuzzy clustering and genetic algorithm

Aiming at the low efficiency, fallibility of formation assignment result and lack of intelligence in optimized formation assignment for large-scale air fleet, a new hybrid genetic fuzzy clustering algorithm (GF-CA) was proposed for large-scale air fleet optimized formation assignment by incorporating the fuzzy clustering algorithm into the genetic algorithm (GA). The GFCA solved the uncertainty problem of formation assignment for air fleet by fuzzy clustering algorithm, avoided the local minima and was robust to initialization by using improved GA, with new genetic arithmetic operators, so as to obtain the global optima for formation assignment quickly. The results of two examples show that the GFCA has better generalization, effectiveness and intelligence, and it is applicable to optimized formation assignment for large-scale air fleet.