Dynamic Ant Colony Optimisation

@article{Angus2005DynamicAC,
  title={Dynamic Ant Colony Optimisation},
  author={Daniel Angus and Tim Hendtlass},
  journal={Applied Intelligence},
  year={2005},
  volume={23},
  pages={33-38}
}
Ant Colony optimisation has proved suitable to solve static optimisation problems, that is problems that do not change with time. However in the real world changing circumstances may mean that a previously optimum solution becomes suboptimal. This paper explores the ability of the ant colony optimisation algorithm to adapt from the optimum solution for one set of circumstances to the optimal solution for another set of circumstances. Results are given for a preliminary investigation based on… CONTINUE READING
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