Waibel, M.

Dorigo, M. & Stützle, T. 2004: Ant Colony Optimization

Dorigo, M. & STÜTZLE, T. 2004: Ant Colony Optimization. – The Mit Press, Cambridge Ma, 328 pp. Di Markus Waibel, Autonomous Systems Lab, Swiss Federal Institute of Technology, EPFL-STI-I2S-LSA2, CH-1015 Lausanne, Switzerland. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. Few people with an interest in biological system modelling have never heard of Ant Colony Optimization (ACO). It is the single, most well-known example of what has come to be called "bio-inspired" algorithms, and one of the most impressive success stories of translating biological phenomena into engineering solutions. The interest of Aco lies in its simplicity and versatility: It has been successfully applied to problems as diverse as network routing, industrial scheduling in metal casting and logistics with a nonhomogeneous fleet of trucks. In spite of ACO's huge success and its relevance to many fields outside computer science, up to now know-how of this field has been spread out over many scientific publications without an…

Open access, licensed under CC BY 4.0. © 2004 The Author(s).

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