- Title
- The relationship between emergence of the shortest path and information value using ant-like agents
- Creator
- Chibaya, Colin, Bangay, Shaun D
- Subject
- To be catalogued
- Date
- 2008
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/433318
- Identifier
- vital:72961
- Identifier
- https://doi.org/10.1145/1456659.1456663
- Description
- Ant-like agents forage between two points. These agents' probabilistic movements are based on the use of two pheromones; one marking trails towards the goal and another marking trails back to the starting point. Path selection decisions are influenced by the relative levels of attractive and repulsive pheromone in each agent's local environment. Our work in [5] evaluates three pheromone perception strategies, investigating path formation speed, quality, directionality, robustness and adaptability under different parameter settings(degree of randomness, pheromone evaporation rate and pheromone diffusion rate).
- Format
- 8 pages, pdf
- Language
- English
- Relation
- Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology, Chibaya, C. and Bangay, S., 2008, October. The relationship between emergence of the shortest path and information value using ant-like agents. In Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology (pp. 27-34), Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology volume 2008 number 1 27 34 2008 978-1-60558-286-3
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the ACM Digital Library Statement (https://libraries.acm.org/digital-library/policies#anchor3)
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Collections
Bangay, Shaun Douglas (Dr)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
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|---|---|---|---|---|---|---|---|
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