Open AccessComputer ScienceEngineering

C. Blum

2005.12.1Physics of Life Reviews

DOI: 10.1016/j.plrev.2005.10.001

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.