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Swarm Intelligence- Ant Colony Foraging Behavior

Lakshmi Narasimha M. R Guptha., M Prasaanth., S Srikrishna.

发表年份
2010
引用次数
3

摘要

This paper focuses on optimizing the way ant colonies forage for food with regard to efficiency based on time as well as on quantity while utilizing only the natural capabilities of ants. This is achieved primarily by modifying how ants make use of the information available to them. The various ways in which such optimizations can contribute to advances in different fields are also discussed. The way in which the natural ant behavior and the optimizations that are described contribute to vehicle motion optimization, development of shortest path algorithms and distributed robotics is also discussed. Prasaanth.M BE: undergrad student 32/29 South Gangaiamman Koil Street Choolaimedu, Chennai 94 Srikrishna.S BE: undergrad student Flat No.1, Prashanthi Flats, No.2, Norton 1st Street, Mandavelipakkam, Chennai 600028 The full text of the article is not available in the cache. Kindly refer the IJCA digital library at www.ijcaonline.org for the complete article. In case, you face problems while downloading the full-text, please send a mail to editor at [email protected]

关键词

ForagingComputer scienceSwarm intelligenceSwarm behaviourAnt colonyArtificial intelligenceAnt colony optimization algorithmsANTMachine learningEcology

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