Background: In the recent era of technology, the traditional Ant Colony Algorithm
(ACO) is insufficient in solving the problem of network congestion and load balance, and network
Methods: This paper proposes an improved ant colony algorithm, which considers the price factor
based on the theory of elasticity of demand. The price factor is denominated in the impact on the
network load which means indirect control of network load, congestion or auxiliary solution to calculate
the idle resources caused by the low network utilization and reduced profits.
Results: Experimental results show that the improved algorithm can balance the overall network
load, extend the life of path by nearly 3 hours, greatly reduce the risk of network paralysis, and increase
the profit of the manufacturer by 300 million Yuan.
Conclusion: Furthermore, the results show that the improved method has great application value in
improving network efficiency, balancing network load, prolonging network life and increasing
network operating profit.