Ant colony optimization algorithms
id:
ant-colony-optimization-algorithms-163-3873994
title:
Ant colony optimization algorithms
text:
In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. Artificial ants stand for multi-agent methods inspired by the behavior of real ants.
The pheromone-based communication of biological ants is often the predominant paradigm used. Combinations of artificial ants and local search algorithms have become a method of choice for numerous optimi
brand slug:
wiki
category slug:
encyclopedia
description:
Optimization algorithm
original url:
https://en.wikipedia.org/wiki/Ant_colony_optimization_algorithms
date created:
2004-04-10T21:19:00Z
date modified:
2024-08-28T04:04:41Z
main entity:
{"identifier":"Q460851","url":"https://www.wikidata.org/entity/Q460851"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/3/34/Safari_ants.jpg","width":1544,"height":1024}
fields total:
13
integrity:
16