The invention discloses a multi-species coevolution method for solving the storage operation optimization problem with aisles, and belongs to the field of intelligent logistics and storage equipment.According to the method, the transverse aisles are added on the basis of traditional warehousing, the warehousing operation optimization model with the aisles is established, and the model is solved.In view of the defects that the existing solving technology is easy to premature and low in convergence speed, the invention provides a multi-species co-evolution optimization method based on the joint participation of a genetic algorithm, a particle swarm algorithm and an artificial fish swarm algorithm, i.e., through a multi-species competition symbiotic predation strategy based on a learning mechanism, the environment adaptability of each species can be enhanced; by introducing a variation mechanism, the population diversity of all species is synergistically improved, so that the evolutioncapability of a single species is improved, and meanwhile, the global optimization capability and the solving efficiency of the algorithm are also improved. According to the method, the operation efficiency of overall storage is improved, and the logistics storage can be promoted to be transformed and upgraded to be intelligent and green.