An Analysis of Ant Colony Clustering Methods: Models, Algorithms and Applications

2011 ◽  
Vol 3 (11) ◽  
pp. 112-121 ◽  
Author(s):  
Gong Zhe ◽  
Li Dan ◽  
An Baoyu ◽  
Ou Yangxi ◽  
Cui Wei ◽  
...  
Keyword(s):  
Ant Colony ◽  
Clustering Methods ◽  
Ant Colony Clustering

A Multi-Robot System Using Mobile Agents with Ant Colony Clustering

2010 ◽  
pp. 174-192
Author(s):  
Yasushi Kambayashi ◽  
Yasuhiro Tsujimura ◽  
Hidemi Yamachi ◽  
Munehiro Takimoto
Keyword(s):  
Communication Networks ◽  
Mobile Agents ◽  
Software Agents ◽  
Ant Colony ◽  
Multiple Robots ◽  
Robot System ◽  
Mobile Software ◽  
Robot Systems ◽  
Ant Colony Clustering ◽  
Multi Robot

This chapter presents a framework using novel methods for controlling mobile multiple robots directed by mobile agents on a communication networks. Instead of physical movement of multiple robots, mobile software agents migrate from one robot to another so that the robots more efficiently complete their task. In some applications, it is desirable that multiple robots draw themselves together automatically. In order to avoid excessive energy consumption, we employ mobile software agents to locate robots scattered in a field, and cause them to autonomously determine their moving behaviors by using a clustering algorithm based on the Ant Colony Optimization (ACO) method. ACO is the swarm-intelligence-based method that exploits artificial stigmergy for the solution of combinatorial optimization problems. Preliminary experiments have provided a favorable result. Even though there is much room to improve the collaboration of multiple agents and ACO, the current results suggest a promising direction for the design of control mechanisms for multi-robot systems. In this chapter, we focus on the implementation of the controlling mechanism of the multi-robot system using mobile agents.

The Research of Key Factors Influencing Ecological Civilization Consciousness of College Students Based on Ant Colony Clustering Algorithm

2014 ◽  
Vol 472 ◽  
pp. 894-898
Author(s):  
Wen Jiao Xing ◽  
Xue Hua Zhang ◽  
Hong Wei Zhang
Keyword(s):  
College Students ◽  
Clustering Algorithm ◽  
Well Being ◽  
Ant Colony ◽  
Human Consciousness ◽  
Key Factors ◽  
Ecological Civilization ◽  
Ant Colony Clustering ◽  
First Time

Ecological civilization construction is related to not only peoples well-being, but also the long term plan of a countrys development and revitalization. This research applied ant colony clustering algorithm to study the feasibility and key factors of ecological civilization promotion in the college students It is the first time that quantitative method was introduced into the human consciousness research. The results show that college students have known the situation of resources and environmental problems well, which is a advantage for the promotion of ecological civilization concept. However, the role that colleges play in ecological civilization promotion has not performed fully. And above two items are the key factors to promote ecological civilization promotion.

scholarly journals Simultaneous feature selection and ant colony clustering

2011 ◽  
Vol 3 ◽  
pp. 1432-1438 ◽  
Author(s):  
Emre Akarsu ◽  
Adem Karahoca
Keyword(s):  
Feature Selection ◽  
Ant Colony ◽  
Ant Colony Clustering
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