Study and Analysis of Ant System

α
Dr. Pawandeep Chahal
Dr. Pawandeep Chahal
σ
Dr. Jatinder singh
Dr. Jatinder singh
ρ
Pawandeep Chahal
Pawandeep Chahal
α Punjab Technical University

Send Message

To: Author

Study and Analysis of Ant System

Article Fingerprint

ReserarchID

AW9T7

Study and Analysis of Ant System Banner

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Abstract

A lot of species of ants have a trail-laying/trailfollowing behavior when foraging. While moving, individual ants deposit on the ground a volatile chemical substance called pheromone, forming in this way pheromone trails. Ants can smell pheromone and, when choosing their way, they tend to choose, in probability, the paths marked by stronger pheromone concentrations. In this way they create a sort of attractive potential field, the pheromone trails allows the ants to find their way back to food sources (or to the nest). Also, they can be used by other ants to find the location of the food sources discovered by their nest mates.

References

34 Cites in Article
  1. (1997). Biodiversity: an ecological perspective.
  2. M Beckmann,C Mcguire,C Winstein (1956). Yale University Press.
  3. R Bellman (1957). Dynamic Programming.
  4. Richard Bellman (1958). On a routing problem.
  5. D Bertsekas,J Tsitsiklis,Cynara Wu (1997). Rollout algorithms for combinatorial optimization.
  6. M Birattari,G Caro,M Dorigo (2002). Towards the formal foundation of ant programming.
  7. J Bland (2001). OPTIMAL STRUCTURAL DESIGN BY ANT COLONY OPTIMIZATION.
  8. J Bland (1999). Layout of facilities using an Ant System approach.
  9. J Bland (1999). Space-planning by Ant Colony Optimization.
  10. K Bolding,M Fulgham,L Snyder (1994). Parallel Computer Routing and Communication.
  11. Eric Bonabeau,Marco Dorigo,Guy Theraulaz (1999). Swarm Intelligence.
  12. Josh Broch,David Maltz,David Johnson,Yih-Chun Hu,Jorjeta Jetcheva (1998). A performance comparison of multi-hop wireless ad hoc network routing protocols.
  13. Daniel Câmara,Antonio Loureiro (2001). GPS/Ant-Like Routing in Ad Hoc Networks.
  14. H Chang,W Gutjahr,J Yang,S Park (2003). An Ant System approach to Markov Decision Processes.
  15. C Cheng,R Riley,S Kumar,J Garcia-Luna-Aceves (1989). A loop-free extended Bellman-Ford routing protocol without bouncing effect.
  16. L Chrisman (1992). Reinforcement learning with perceptual aliasing: The perceptual distinctions approach.
  17. I Cidon,R Rom,Y Shavitt (1997). Multi-path routing combined with resource reservation.
  18. I Cidon,R Rom,Y Shavitt (1999). Analysis of multi-path routing.
  19. I Colorni,M Dorigo,V Maniezzo,M Trubian (1994). Figure 4: Initial conditions between ant colony in a nest and food source (Dorigo, Maniezzo & Colorni, 1996)..
  20. M Cottarelli,A Gobbi (1997). Estensioni dell'algoritmo formiche per il problema del commesso via ggiatore.
  21. J-L Deneubourg,S Aron,S Goss,J.-M Pasteels (1990). The self-organizing exploratory pattern of the argentine ant.
  22. J Deneubourg,S Goss,N Franks,A Sendova-Franks,C Detrain,L Chrétien (1991). The Dynamics of Collective Sorting: Robot-Like Ants and Ant-Like Robots.
  23. G,Di Caro,M Dorigo (1997). AntNet: A mobile agents approach to adaptive routing.
  24. G Caro,F Ducatelle,L Gambardella (2004). AntHocNet: an ant-based hybrid routing algorithm for mobile ad hoc networks.
  25. G Caro,F Ducatelle,L Gambardella (2005). AntHocNet: an adaptive nature-inspired algorithm for routing in mobile ad hoc networks.
  26. E Dijkstra (1959). A note on two problems in connection with graphs.
  27. Marco Dorigo,Gianni Caro,Luca Gambardella (1999). Ant Algorithms for Discrete Optimization.
  28. J Garcia-Luna-Aceves,Shree Murthy (1997). A path-finding algorithm for loop-free routing.
  29. Fred Glover (1989). Tabu Search—Part I.
  30. J Moy (1994). OSPF version 2. Request For Comments (RFC) 1583.
  31. J Moy (1998). OSPF Anatomy of an Internet Routing Protocol.
  32. Guillermo Owen (1995). The not-quite non-atomic game: Homogeneous games on two measures.
  33. M Puterman (1994). Markov Decision Problems.
  34. K Romer,Friedemann Mattern (2004). The design space of wireless sensor networks.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Pawandeep Chahal. 2012. \u201cStudy and Analysis of Ant System\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 12 (GJCST Volume 12 Issue G10): .

Download Citation

Issue Cover
GJCST Volume 12 Issue G10
Pg. 15- 21
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Version of record

v1.2

Issue date

July 31, 2012

Language
en
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 10556
Total Downloads: 2771
2026 Trends
Related Research

Published Article

A lot of species of ants have a trail-laying/trailfollowing behavior when foraging. While moving, individual ants deposit on the ground a volatile chemical substance called pheromone, forming in this way pheromone trails. Ants can smell pheromone and, when choosing their way, they tend to choose, in probability, the paths marked by stronger pheromone concentrations. In this way they create a sort of attractive potential field, the pheromone trails allows the ants to find their way back to food sources (or to the nest). Also, they can be used by other ants to find the location of the food sources discovered by their nest mates.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Study and Analysis of Ant System

Dr. Jatinder singh
Dr. Jatinder singh
Pawandeep Chahal
Pawandeep Chahal

Research Journals