Paper Info
Title
An Analysis of a Selecto-Lamarckian Model of Multimemetic Algorithms with Dynamic Self-organized Topology.
Abstract
Multimemetic algorithms (MMAs) are memetic algorithms that explicitly represent and evolve memes (computational representations of problem solving methods) as a part of solutions. We use an idealized selecto-Lamarckian model of MMAs in order to analyze the propagation of memes in spatially structured populations. To this end, we focus on the use of dynamic self-organized spatial structures, based on the stimergic communication among solutions, and compare these with regular static lattices and unstructured (panmictic) populations. An empirical analysis indicates that these dynamic lattices are capable of promoting memetic diversity and provide better results in terms of survival of high-quality memes.
Year
DOI
Venue
2013
10.1007/978-3-642-45008-2_17
Lecture Notes in Computer Science
Keywords
Field
DocType
Memetic algorithms,spatial structure,self-organization
Memetic algorithm,Computer science,Self-organization,Algorithm,Probabilistic analysis of algorithms,Topology optimization,Spatial structure,Computational topology
Conference
Volume
ISSN
Citations 
8273
0302-9743
1
PageRank 
References 
Authors
0.39
13
6
Name
Order
Citations
PageRank
Rafael Nogueras1558.32
Carlos Cotta244136.10
Carlos M. Fernandes315923.07
Juan Luís Jiménez Laredo421022.61
Juan Julián Merelo Guervós548375.75
Agostinho C. Rosa632457.50