DocumentCode
3776488
Title
Spider´s behavior for ant based clustering algorithm
Author
Amira Hamdi;Nicolas Monmarch?;Mohamed Slimane;Adel M. Alimi
Author_Institution
REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia
fYear
2015
Firstpage
254
Lastpage
259
Abstract
This paper describes a novel bio-inspired metaheuristic named ASClass for data clustering problem. The particular principles used for the design of this strategy are inspired by the foraging behavior observed in ant colony. In this technique, an ant colony optimization algorithm is used to search a closed tour of minimal length connecting n objects in database. The process of building path-object is inspired by the collective weaving observed in social spiders.
Keywords
"Iris","Weaving","Biological system modeling","Computational modeling"
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications (ISDA), 2015 15th International Conference on
Electronic_ISBN
2164-7151
Type
conf
DOI
10.1109/ISDA.2015.7489234
Filename
7489234
Link To Document