Optimization Algorithms Inspired by Biological Ants and Swarm Behavior (2004)
| Venue: | SAN DIEGO STATE UNIVERSITY |
| Citations: | 7 - 1 self |
BibTeX
@TECHREPORT{Merloti04optimizationalgorithms,
author = {Paulo Eduardo Merloti},
title = {Optimization Algorithms Inspired by Biological Ants and Swarm Behavior},
institution = {SAN DIEGO STATE UNIVERSITY},
year = {2004}
}
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Abstract
Ants are simple creatures that inspire many researchers in the field of Computer Science to develop new solutions for optimization and artificial intelligence problems. Some aspects of ant behavior can be implemented in a computer environment in order to solve a particular problem or to derive emergent behavior similar to ant colonies behavior. In this paper we give a brief overview of some functions of biological ants and the colony behavior generated from the interaction of a swarm of ants. Following we review the main existing work from the main researchers in the field on applying the ant metaphor in solving hard combinatorial optimization problems.
