# A study on meme propagation in multimemetic algorithms

International Journal of Applied Mathematics and Computer Science (2015)

- Volume: 25, Issue: 3, page 499-512
- ISSN: 1641-876X

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topRafael Nogueras, and Carlos Cotta. "A study on meme propagation in multimemetic algorithms." International Journal of Applied Mathematics and Computer Science 25.3 (2015): 499-512. <http://eudml.org/doc/271765>.

@article{RafaelNogueras2015,

abstract = {Multimemetic algorithms (MMAs) are a subclass of memetic algorithms in which memes are explicitly attached to genotypes and evolve alongside them. We analyze the propagation of memes in MMAs with a spatial structure. For this purpose we propose an idealized selecto-Lamarckian model that only features selection and local improvement, and study under which conditions good, high-potential memes can proliferate. We compare population models with panmictic and toroidal grid topologies. We show that the increased takeover time induced by the latter is essential for improving the chances for good memes to express themselves in the population by improving their hosts, hence enhancing their survival rates. Experiments realized with an actual MMA on three different complex pseudo-Boolean functions are consistent with these findings, indicating that memes are more successful in a spatially structured MMA, rather than in a panmictic MMA, and that the performance of the former is significantly better than that of its panmictic counterpart.},

author = {Rafael Nogueras, Carlos Cotta},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {memetic algorithms; spatial structure; meme propagation},

language = {eng},

number = {3},

pages = {499-512},

title = {A study on meme propagation in multimemetic algorithms},

url = {http://eudml.org/doc/271765},

volume = {25},

year = {2015},

}

TY - JOUR

AU - Rafael Nogueras

AU - Carlos Cotta

TI - A study on meme propagation in multimemetic algorithms

JO - International Journal of Applied Mathematics and Computer Science

PY - 2015

VL - 25

IS - 3

SP - 499

EP - 512

AB - Multimemetic algorithms (MMAs) are a subclass of memetic algorithms in which memes are explicitly attached to genotypes and evolve alongside them. We analyze the propagation of memes in MMAs with a spatial structure. For this purpose we propose an idealized selecto-Lamarckian model that only features selection and local improvement, and study under which conditions good, high-potential memes can proliferate. We compare population models with panmictic and toroidal grid topologies. We show that the increased takeover time induced by the latter is essential for improving the chances for good memes to express themselves in the population by improving their hosts, hence enhancing their survival rates. Experiments realized with an actual MMA on three different complex pseudo-Boolean functions are consistent with these findings, indicating that memes are more successful in a spatially structured MMA, rather than in a panmictic MMA, and that the performance of the former is significantly better than that of its panmictic counterpart.

LA - eng

KW - memetic algorithms; spatial structure; meme propagation

UR - http://eudml.org/doc/271765

ER -

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