Title
Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms
Abstract
This work presents the application of a parallel cooperative optimization approach to the broadcast operation in mobile ad-hoc networks (manet s). The optimization of the broadcast operation implies 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 scenario. The cooperation of a team of multi-objective evolutionary algorithms 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 manet s scenario, representing a mall, demonstrate the validity of the new proposed approach.
Year
DOI
Venue
2009
10.1007/978-3-642-01020-0_26
EMO
Keywords
Field
DocType
parallel island-based scheme,hyperheuristic approach,multi-objective approach,new proposed approach,dfcn broadcast protocol,multi-objective evolutionary algorithms,manet scenario,parallel cooperative optimization approach,parallel cooperative strategy,novel optimization model,broadcast operation,hybrid parallel algorithm,mobile ad hoc network,parallel algorithm,satisfiability
Mobile ad hoc network,Particle swarm optimization,Broadcasting,Evolutionary algorithm,Computer science,Cooperative strategy,Parallel algorithm,Multi-objective optimization,Distributed computing
Conference
Volume
ISSN
Citations 
5467
0302-9743
5
PageRank 
References 
Authors
0.47
26
14