A multi-facet survey on memetic computation

X Chen, YS Ong, MH Lim… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Memetic computation is a paradigm that uses the notion of meme (s) as units of information
encoded in computational representations for the purpose of problem-solving. It covers a …

A GA-weighted ANFIS model based on multiple stock market volatility causality for TAIEX forecasting

LY Wei - Applied Soft Computing, 2013 - Elsevier
Stock market forecasting is important and interesting, because the successful prediction of
stock prices may promise attractive benefits. The economy of Taiwan relies on international …

Parameter determination and feature selection for back-propagation network by particle swarm optimization

SW Lin, SC Chen, WJ Wu, CH Chen - Knowledge and Information Systems, 2009 - Springer
The back-propagation network (BPN) is a popular tool with applications in a variety of fields.
Nevertheless, different problems may require different parameter settings for a given …

Lamarckian evolution of convolutional neural networks

J Prellberg, O Kramer - Parallel Problem Solving from Nature–PPSN XV …, 2018 - Springer
Convolutional neural networks belong to the most successful image classifiers, but the
adaptation of their network architecture to a particular problem is computationally expensive …

The influence of learning on evolution: A mathematical framework

I Paenke, TJ Kawecki, B Sendhoff - Artificial Life, 2009 - ieeexplore.ieee.org
The Baldwin effect can be observed if phenotypic learning influences the evolutionary
fitness of individuals, which can in turn accelerate or decelerate evolutionary change …

On the performance of evolutionary algorithms with life-time adaptation in dynamic fitness landscapes

R Eriksson, B Olsson - Proceedings of the 2004 Congress on …, 2004 - ieeexplore.ieee.org
This work demonstrates how the efficiency of evolutionary algorithms in dynamic
environments can be improved by use of life-time adaptation. Our results contradict the …

On the adaptive disadvantage of Lamarckianism in rapidly changing environments

I Paenke, B Sendhoff, J Rowe, C Fernando - Advances in Artificial Life: 9th …, 2007 - Springer
Using a simple simulation model of evolution and learning, this paper provides an
evolutionary argument why Lamarckian inheritance-the direct transfer of lifetime learning …

Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden Markov model for signal modeling

S Huda, J Yearwood, R Togneri - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The expectation maximization (EM) is the standard training algorithm for hidden Markov
model (HMM). However, EM faces a local convergence problem in HMM estimation. This …

On the influence of phenotype plasticity on genotype diversity

I Paenke, J Branke, Y Jin - 2007 IEEE Symposium on …, 2007 - ieeexplore.ieee.org
A large body of research has investigated the advantages of combining phenotype
adaptation and genotype adaptation. The hybridization of genetic search and local search …

Tissu numérique cellulaire à routage et configuration dynamiques

Y Thoma - 2005 - infoscience.epfl.ch
In the design of new machines or in the development of new concepts, mankind has often
observed nature, looking for useful ideas and sources of inspiration. The design of electronic …