DocumentCode :
2688013
Title :
An ant-based algorithm for annular sorting
Author :
Amos, Martyn ; Don, Oliver
Author_Institution :
Manchester Metropolitan Univ., Manchester
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
142
Lastpage :
148
Abstract :
We present an ant-based algorithm for spatially sorting objects into an annular structure. The model is minimal, as it requires only stochastic ant behaviour coupled with a pheromone-inspired "attraction-repulsion" mechanism. This is the first annular sorting algorithm to consider the problem of objects with non-uniform size, as well as the situation where objects are pre-sorted. The algorithm consistently generates high-quality annular structures, and is particularly powerful in situations where the initial configuration of objects is similar to those observed in nature. We suggest that this model provides a powerful algorithmic framework, as well as a contribution to the study of "attraction-repulsion" models of animal behaviour.
Keywords :
artificial intelligence; annular sorting; annular structure; ant-based algorithm; pheromone-inspired attraction-repulsion mechanism; stochastic ant behaviour; Animal behavior; Animal structures; Biological system modeling; Clustering algorithms; Computer simulation; Mathematics; Power generation; Robot sensing systems; Sorting; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424465
Filename :
4424465
Link To Document :
بازگشت