Abstract
Aiming at the problems of slow convergence, high cost and low efficiency when ant colony algorithm is used to solve the distribution path optimisation problem in logistics operation management, a logistics operation management algorithm based on hybrid intelligent optimisation algorithm is proposed. Based on the establishment of the optimisation model and its constraints, the initial solution of the model was obtained by artificial fish swarm algorithm in the early stage, and the updating strategy of ant pheromone concentration was selected to improve the transition probability of ant state. In the later stage, the concept of crowding degree is introduced to improve the basic ant colony algorithm and improve the ability of ant colony optimisation. The optimal solution is obtained by analysing the parameters that affect the performance. The results show that the algorithm is superior to the basic ant colony algorithm in optimisation efficiency, convergence speed and distribution cost.
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