A novel Parallel Ant Colony Optimization Algorithm based on Quantum dynamic mechanism for traveling salesman problem (PQACO) is proposed. The use of the improved 3-opt operator provides this methodology with superior local search ability; several antibody diversification schemes were incorporated into the PQACO in order to improve the balance between exploitation and exploration. We describe the quantum dynamic mechanism and analysis the technology of improving performance, the efficiency of the approach has been illustrated by applying to TSP benchmark instances Chn144.
You et al. REF proposed a parallel ACO algorithm based on a quantum dynamic mechanism for the TSP.
Quantum Dynamic Mechanism-based Parallel Ant Colony Optimization Algorithm
Int. J. Comput. Intell. Syst.
Int. J. Comput. Intell. Syst.
Mathematics Computer Science