SWI/ Swarm Intelligence

Ant Colony Optimization

First stop: the 1996 Ant System formulation.

Mechanism

ACO is examined here through Ant System. Artificial trails are a computational counterpart of biological pheromone; this first entry does not cover every variant.

Claims & sources

EvidenceIn the 1996 Ant System formulation, artificial ants use probabilistic choices and updated shared trail values in combinatorial search.

Confidence is an editorial assessment of support, not a mathematical probability.

Ant system: optimization by a colony of cooperating agents (opens in a new tab)

Authors
Marco Dorigo, Vittorio Maniezzo, Alberto Colorni
Organization
IEEE
Source type
Peer-reviewed paper
Publication date
Exact date not established; see publication details
Publication / identifier
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 26(1), 29–41; February 1996 (day not established)
DOI
10.1109/3477.484436
Accessed
Source availability
Available

SupportsThe Ant System formulation; not a performance claim for every ACO variant.

Sections I–II, equations (1)–(4); reviewed manuscript PDF pp. 2–6: https://jmvidal.cse.sc.edu/library/dorigo96a.pdf#page=2

SynthesisSWI maps stigmergy's environmental feedback principle to Ant System's artificial trails, forming an inspiration link to ACO.

Confidence is an editorial assessment of support, not a mathematical probability.

Ant system: optimization by a colony of cooperating agents (opens in a new tab)

Authors
Marco Dorigo, Vittorio Maniezzo, Alberto Colorni
Organization
IEEE
Source type
Peer-reviewed paper
Publication date
Exact date not established; see publication details
Publication / identifier
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 26(1), 29–41; February 1996 (day not established)
DOI
10.1109/3477.484436
Accessed
Source availability
Available

SupportsThe paper states its ant-behavior inspiration; the stigmergy mapping is SWI interpretation.

Sections I–II; reviewed manuscript PDF pp. 2–6: https://jmvidal.cse.sc.edu/library/dorigo96a.pdf#page=2

A Brief History of Stigmergy (opens in a new tab)

Authors
Guy Theraulaz, Eric Bonabeau
Organization
MIT Press
Source type
Peer-reviewed paper
Publication date
Exact date not established; see publication details
Publication / identifier
Artificial Life 5(2), 97–116; April 1999 (day not established from retrieved DOI metadata)
DOI
10.1162/106454699568700
Accessed
Source availability
Available

ContextualizesThe biological side of the conceptual mapping.

Section 4, p. 111. https://static.ias.edu/pitp/archive/2012files/29.pdf#page=15

SynthesisReading Ant System and AntNet together, SWI infers that shared environmental state can serve as a design pattern for artificial-agent coordination.

Confidence is an editorial assessment of support, not a mathematical probability.

Ant system: optimization by a colony of cooperating agents (opens in a new tab)

Authors
Marco Dorigo, Vittorio Maniezzo, Alberto Colorni
Organization
IEEE
Source type
Peer-reviewed paper
Publication date
Exact date not established; see publication details
Publication / identifier
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 26(1), 29–41; February 1996 (day not established)
DOI
10.1109/3477.484436
Accessed
Source availability
Available

ContextualizesArtificial trail variables provide the optimization example for the synthesis.

Section II; reviewed manuscript PDF pp. 5–6: https://jmvidal.cse.sc.edu/library/dorigo96a.pdf#page=5

AntNet: Distributed Stigmergetic Control for Communications Networks (opens in a new tab)

Authors
Gianni Di Caro, Marco Dorigo
Organization
AI Access Foundation
Source type
Peer-reviewed paper
Publication date
Publication / identifier
Journal of Artificial Intelligence Research 9, 317–365
DOI
10.1613/jair.530
Accessed
Source availability
Available

SupportsAntNet supplies the routing example; transfer to modern LLM agents is untested.

Publisher abstract, https://jair.org/index.php/jair/article/view/10217

Freshness

Reviewed
Updated
Freshness evaluated

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