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

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

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.