Title :
A nature-inspired algorithm for the disjoint paths problem
Author :
Blesa, Maria J. ; Blum, Christian
Author_Institution :
ALBCOM Res. Group, Univ. Politecnica de Catalunya, Barcelona
Abstract :
The edge-disjoint paths (EDP) problem The EDP problem is interesting for different research fields such as combinatorial optimization, algorithmic graph theory and operations research. In general, there is a lack of efficient algorithms for tackling the EDP problem. Only some greedy approaches and a preliminary ant colony optimization (ACO) approach (Blesa and Blum, 2004) exist for tackling the problem. The greedy approaches are used as approximation algorithms for theoretical purposes, but the quality of the solutions they obtain are susceptible to improvement. Based on the (basic) approach in Blesa and Blum (2004), we have evolved a more sophisticated ACO algorithm
Keywords :
artificial life; graph theory; optimisation; telecommunication network routing; ant colony optimization; edge-disjoint paths problem; nature-inspired algorithm; Communication networks; Communication switching; Contracts; Educational programs; Graph theory; Interference constraints; Load management; Magnetohydrodynamic power generation; Operations research; Switches;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International
Conference_Location :
Rhodes Island
Print_ISBN :
1-4244-0054-6
DOI :
10.1109/IPDPS.2006.1639513