基于改进遗传算法的航空器载重平衡.

In order to optimize the aircraft load balance problem encountered by airlines, a multi-objective load balance model with the largest business load and the smallest shift in the center of gravity was established, taking into account the limit of single space. Restrictions such as heavy weight, multi-space weight limit, and center of gravity(CG) limit were used to solve the model using an genetic algorithm. In order to speed up the algorithm's optimization ability and speed up the convergence speed, an evolutionary reversal operation operator was added on the basis of the ordinary genetic algorithm. Finally, using Boeing 757-200F as a simulation optimization example, the calculation results show that the average load capacity can reach 21 281 kg, and the average center of gravity offset is 2. 31% MAC, which verifies the validity and rationality of the model. [ABSTRACT FROM AUTHOR]