Notice of RetractionImproved ant colony algorithm for system efficiency optimization of supply facilities

Abstract

It depends on proper plan of supply routes to improve system efficiency of supply facilities, when a few battle vehicles in different locations appear different failures. The time optimization of the process is a NP-hard problem. Since the runtime of algorithm is a part of the time for the supply process, the algorithm is required to construct a good enough solution in a limited time. Ant Colony System (ACS) is used to solve this problem, and a strategy is proposed to avoid it falling into local minimum. When the best-so-far solution is re-constructed, the pheromone value associated with each edge is updated to zero. Experiment results demonstrate that, compared with standard ACS, ACS with this strategy can construct a better solution in a shorter time and less iterations. In a word, its overall performance is better in solving the optimization problem of system efficiency.