Open AccessComputer ScienceEngineering
C. Blum
2005.12.1Physics of Life Reviews
tlooto Summary
This work deals with the biological inspiration of ant colony optimization algorithms and shows how this biological inspiration can be transfered into an algorithm for discrete optimization, and presents some of the nowadays best-performing ant colonies optimization variants.
Abstract
Abstract is not available.
Citation format
BLUM, C. Ant colony optimization: Introduction and recent trends. Physics of Life Reviews, 2005, 2: 353–373.