Improved Design of Computer Network Based on Ant Colony Algorithm

The improved design of computer network based on ant colony algorithm is a technology that divides tasks into several smaller tasks, and each task is assigned to different staff. The main idea behind the algorithm is that each staff member can assign a task, and then find another solution by searching for other tasks. This process continues until all tasks are completed or no other solution is found. In this way, the team can complete the work faster than before. Facts have proved that this technology is very useful for solving complex problems, such as finding the best path between nodes or calculating the shortest path. Workers not only work alone, but also use pheromone signals to communicate with each other. Ants have amazing ability to find the shortest path between two points without knowing the location of other ants or obstacles in the path in advance. This paper constructs a network simulation system on the OPNET platform, and the improved algorithm shows good performance in the simulation system. At the same time, the performance of the improved algorithm is compared with that of the basic ant colony algorithm in the simulation system. The comparison results show that the improved algorithm can make improvements in the aspects of adaptive, not easy to fall into the local optimal solution and preventing from falling into stagnation.