ACO algorithms for the quadratic assignment problem
New ideas in optimization
MACS-VRPTW: a multiple ant colony system for vehicle routing problems with time windows
New ideas in optimization
Ant algorithms for discrete optimization
Artificial Life
A Graph-based Ant system and its convergence
Future Generation Computer Systems
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Solving multi-criteria optimization problems with population-based ACO
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Parallel cooperative micro-particle swarm optimization: A master-slave model
Applied Soft Computing
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In this paper we propose an ACO approach, where two colonies of ants aim to optimize total costs in a transportation network. This main objective consists of two sub goals, namely fleet size minimization and minimization of the vehicle movement costs, which are conflicting for some regions of the solution space. Thus, our two ant colonies optimize one of these sub-goals each and communicate information concerning solution quality. Our results show the potential of the proposed method.