Title
Analysing the performance of different population structures for an agent-based evolutionary algorithm
Abstract
The Evolvable Agent model is a Peer-to-Peer Evolutionary Algorithm [4] which focuses on distributed optimisation over Peer-to-Peer infrastructures [7]. The main idea of the model is that every agent (i.e. individual) is designated as a peer (i.e. network node) and adopts a decentralised population structure defined by the underlying Peer-to-Peer protocol newscast [3]. That way, the population structure acquires a small network diameter which allows a fast dissemination of the best solutions. Additionally, speed of propagation holds with scaling network sizes due to the logarithmic growth of the network diameter.
Year
DOI
Venue
2011
10.1007/978-3-642-25566-3_45
LION
Keywords
Field
DocType
population structure,decentralised population structure,underlying peer-to-peer protocol newscast,agent-based evolutionary algorithm,different population structure,evolvable agent model,network size,peer-to-peer infrastructure,peer-to-peer evolutionary algorithm,small network diameter,network diameter,network node
Network formation,Population,Evolutionary algorithm,Computer science,Content addressable network,Logarithmic growth,Node (networking),Scaling,Population structure,Distributed computing
Conference
Citations 
PageRank 
References 
2
0.39
5
Authors
7
Name
Order
Citations
PageRank
J. L. Laredo1695.89
J. J. Merelo236333.51
C. M. Fernandes360.83
A. M. Mora49910.00
M. G. Arenas5486.27
P. A. Castillo613413.95
P. Garcia-Sanchez720.39