Cyclic scheduling following the social behavior of ant colonies

This work presents an approach based on the behavior of ant systems to optimize the cyclic scheduling of repetitive tasks. These tasks can represent assembling or disassembling operations which impart to the associated operating sequence an organization graphically non-linear. The scheduling optimization is obtained by coupling a simulator and heuristics based on the behavior of ant colonies.