Title of article
Ant colonies for the travelling salesman problem
Author/Authors
Marco Dorigo، نويسنده , , Luca Maria Gambardella، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1997
Pages
9
From page
73
To page
81
Abstract
We describe an artificial ant colony capable of solving the travelling salesman problem (TSP). Ants of the artificial colony are able to generate successively shorter feasible tours by using information accumulated in the form of a pheromone trail deposited on the edges of the TSP graph. Computer simulations demonstrate that the artificial ant colony is capable of generating good solutions to both symmetric and asymmetric instances of the TSP. The method is an example, like simulated annealing, neural networks and evolutionary computation, of the successful use of a natural metaphor to design an optimization algorithm.
Keywords
Ant Colony Optimization , artificial life , Combinatorialoptimization , reinforcement learning , Adaptive behavior , Computational intelligence
Journal title
BioSystems
Serial Year
1997
Journal title
BioSystems
Record number
497329
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