Agent-Based Problem Solving: The Ant Colonies Metaphor

Stefan Wagner; Michael Affenzeller; Ismail Khalil Ibrahim

Agent-Based Problem Solving: The Ant Colonies Metaphor

Stefan Wagner, Michael Affenzeller, Ismail Khalil Ibrahim

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

Abstract

In this paper the analogy between biological swarms and artificial multiagent systems is pointed out. As an example the steps required to model the artificial optimization technique called Ant Colony Optimization starting from the foraging behaviour of natural ant colonies are explained in detail. During the development of the model the authors use the language of multiagent systems to highlight the suitability of such an approach.

Originalsprache	Englisch
Titel	The Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003)
Herausgeber (Verlag)	Österreichische Computer Gesellschaft (OCG)
Seiten	317-323
ISBN (Print)	3-85403-170-10
Publikationsstatus	Veröffentlicht - 2003
Veranstaltung	The Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003) - Jakarta, Indonesien Dauer: 15 Sep. 2003 → 17 Sep. 2003 http://www.tk.uni-linz.ac.at/iiwas/

Konferenz

Konferenz	The Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003)
Land/Gebiet	Indonesien
Ort	Jakarta
Zeitraum	15.09.2003 → 17.09.2003
Internetadresse	http://www.tk.uni-linz.ac.at/iiwas/

Schlagwörter

Heuristic Optimization
Swarm Intelligence
Ant Colony Optimization
Ant Systems

Andere Dateien und Links

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title = "Agent-Based Problem Solving: The Ant Colonies Metaphor",

abstract = "In this paper the analogy between biological swarms and artificial multiagent systems is pointed out. As an example the steps required to model the artificial optimization technique called Ant Colony Optimization starting from the foraging behaviour of natural ant colonies are explained in detail. During the development of the model the authors use the language of multiagent systems to highlight the suitability of such an approach.",

keywords = "Heuristic Optimization, Swarm Intelligence, Ant Colony Optimization, Ant Systems, Heuristic Optimization, Swarm Intelligence, Ant Colony Optimization, Ant Systems",

author = "Stefan Wagner and Michael Affenzeller and {Khalil Ibrahim}, Ismail",

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booktitle = "The Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003)",

publisher = "{\"O}sterreichische Computer Gesellschaft (OCG)",

note = "The Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003) ; Conference date: 15-09-2003 Through 17-09-2003",

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Wagner, S , Affenzeller, M & Khalil Ibrahim, I 2003, Agent-Based Problem Solving: The Ant Colonies Metaphor. in The Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003). Österreichische Computer Gesellschaft (OCG), S. 317-323, The Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003), Jakarta, Indonesien, 15.09.2003.

Agent-Based Problem Solving: The Ant Colonies Metaphor. / Wagner, Stefan ; Affenzeller, Michael; Khalil Ibrahim, Ismail.
The Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003). Österreichische Computer Gesellschaft (OCG), 2003. S. 317-323.

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Agent-Based Problem Solving: The Ant Colonies Metaphor

AU - Wagner, Stefan

AU - Affenzeller, Michael

AU - Khalil Ibrahim, Ismail

PY - 2003

Y1 - 2003

N2 - In this paper the analogy between biological swarms and artificial multiagent systems is pointed out. As an example the steps required to model the artificial optimization technique called Ant Colony Optimization starting from the foraging behaviour of natural ant colonies are explained in detail. During the development of the model the authors use the language of multiagent systems to highlight the suitability of such an approach.

AB - In this paper the analogy between biological swarms and artificial multiagent systems is pointed out. As an example the steps required to model the artificial optimization technique called Ant Colony Optimization starting from the foraging behaviour of natural ant colonies are explained in detail. During the development of the model the authors use the language of multiagent systems to highlight the suitability of such an approach.

KW - Heuristic Optimization

KW - Swarm Intelligence

KW - Ant Colony Optimization

KW - Ant Systems

KW - Heuristic Optimization

KW - Swarm Intelligence

KW - Ant Colony Optimization

KW - Ant Systems

UR - http://www.heuristiclab.com/publications/papers/wagner03a.pdf

UR - https://www.researchgate.net/profile/Michael_Affenzeller2/publication/221238023_Agent-based_Problem_Solving_The_Ant_Colonies_Metaphor/links/00b49525e3b48a44b4000000/Agent-based-Problem-Solving-The-Ant-Colonies-Metaphor.pdf

M3 - Conference contribution

SN - 3-85403-170-10

SP - 317

EP - 323

BT - The Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003)

PB - Österreichische Computer Gesellschaft (OCG)

T2 - The Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003)

Y2 - 15 September 2003 through 17 September 2003

ER -

Agent-Based Problem Solving: The Ant Colonies Metaphor

Abstract

Konferenz

Schlagwörter

Andere Dateien und Links

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