RT Conference Proceedings
T1 Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms
A1 Segura, Carlos
A1 Cervantes, Alejandro
A1 Nebro, Antonio J.
A1 Jaraíz-Simón, María Dolores
A1 Segredo, Eduardo
A1 García-Rodríguez, Sandra
A1 Luna, Francisco
A1 Gómez-Pulido, Juan A.
A1 Miranda, Gara
A1 Luque, Cristóbal
A1 Alba, Enrique
A1 Vega-Rodríguez, Miguel A.
A1 León, Coromoto
A1 Galván, Inés M.
AB This work presents the application of a parallel coopera- tive optimization approach to the broadcast operation in mobile ad-hoc networks (manets). The optimization of the broadcast operation im- plies satisfying several objectives simultaneously, so a multi-objective approach has been designed. The optimization lies on searching the best configurations of the dfcn broadcast protocol for a given manet sce- nario. The cooperation of a team of multi-objective evolutionary al- gorithms has been performed with a novel optimization model. Such model is a hybrid parallel algorithm that combines a parallel island- based scheme with a hyperheuristic approach. Results achieved by the algorithms in different stages of the search process are analyzed in order to grant more computational resources to the most suitable algorithms. The obtained results for a manets scenario, representing a mall, demon- strate the validity of the new proposed approach.
PB Springer
SN 978-3-642-01019-4
SN 0302-9743
YR 2009
FD 2009
LK https://hdl.handle.net/10016/16040
UL https://hdl.handle.net/10016/16040
LA eng
NO Proceeding of: 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009
NO This work has been supported by the ec (feder) and the Spanish Ministry ofEducation and Science inside the ‘Plan Nacional de i+d+i’ (tin2005-08818-c04)and (tin2008-06491-c04-02). The work of Gara Miranda has been developed undergrant fpu-ap2004-2290.
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