A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization

Pintea, Cm; Matei, O.; Ramadan, Ra; Pavone, Mario Francesco; Niazi, M.; Taher, A.

doi:10.1007/978-3-319-62524-9_8

In order to solve combinatorial optimization problem areused mainly hybrid heuristics. Inspired from nature, both genetic andant colony algorithms could be used in a hybrid model by using theirbenefits. The paper introduces a new model of Ant Colony Optimizationusing multiple colonies with different level of sensitivity to the ant’spheromone. The colonies react different to the changing environment,based on their level of sensitivity and thus the exploration of the solutionspace is extended. Several discussion follows about the fuzziness degreeof sensitivity and its influence on the solution of a complex problem.

Titolo:	A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization
Autori interni:	CM Pintea O. Matei RA Ramadan PAVONE, MARIO FRANCESCO M. Niazi A. Taher mostra contributor esterni nascondi contributor esterni
Data di pubblicazione:	2018
Serie:	ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
Handle:	http://hdl.handle.net/20.500.11769/72507
ISBN:	978-3-319-62523-2 978-3-319-62524-9
Appare nelle tipologie:	4.1 Contributo in Atti di convegno

File in questo prodotto:

Non ci sono file associati a questo prodotto.

Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/20.500.11769/72507

Citazioni

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

CINECA IRIS Institutional Research Information System

File in questo prodotto: