Multivariate pattern recognition has recently gained in popularity as an alternative to univariate fMRI analyis, although the exceedingly high spatial dimensionality has proven problematic. Addressing this issue, we have explored the effectiveness of evolutionary algorithms in determining a limited number of voxels that, in combination, optimally discriminate between single volumes of fMRI. Usi...

The extinction risk of endemic birds of mainland China was modeled over evolutionary time. Results showed that extinction risk of endemic birds in mainland China always tended to be similar within subclades over the evolutionary time of species divergence, and the overall evolution of extinction risk of species presented a conservatism pattern, as evidenced by the disparity-through-time plot. A...

The combination of evolutionary algorithms and ANN has been a recent interest in the field of research. Hopfield model is a type of recurrent neural network which has been widely studied for the purpose of associative memories. In the present work, this Hopfield Model of feedback neural networks has been studied with Monte Carlo adaptation learning rule and one evolutionary searching algorithm ...

The Pattern Recognition has attracted the attention of researchers in last few decades as a machine learning approach due to its wide spread application areas. The application area includes medicine, communications, automations, military intelligence, data mining, bioinformatics, document classification, speech recognition, business and many others. Evolutionary computation has become an import...

This paper presents a comparative study of two important Clonal Selection Algorithms (CSAs): CLONALG and opt-IA. To deeply understand the performance of both algorithms, we deal with four different classes of problems: toy problems (one-counting and trap functions), pattern recognition, numerical optimization problems and NP-complete problem (the 2D HP model for protein structure prediction pro...

This paper experimentally tests the contribution of two distinct aspects of social interaction to the creation of shared symbols: behaviour alignment and concurrent partner feedback. Pairs of participants (N= 120, or 60 pairs) completed an experimental-semiotic game, similar to Pictionary, in which they tried to communicate a range of recurring meanings to a partner by drawing on a shared white...

0167-8655/$ see front matter 2011 Published by doi:10.1016/j.patrec.2011.09.023 ⇑ Corresponding author at: Centre de Visió per Com O, 08193 Bellaterra, Barcelona, Spain. E-mail addresses: [email protected] (M.Á. B (S. Escalera), [email protected] (X. Baró), petia@maia maia.uab.es (J. Vitriá), [email protected] (O. Pujol). The classification of large number of object categories is a challenging t...

The objective of this paper is to develop feasible gait patterns that could be used to control a real hexapod walking robot. These gaits should enable the fastest movement that is possible with the given robot’s mechanics and drives on a flat terrain. Biological inspirations are commonly used in the design of walking robots and their control algorithms. However, legged robots differ significant...

This paper aims to provide an improved ZMP-based CPG model considering pitch and roll inclination. The proposed CPG model is optimized by Self-adaptive Differential Evolutionary Algorithm (SaDE). Simulation results are presented and the effectiveness of the CPG model is shown in snapshot of experiments.

The aim of this paper is to introduce a lightweight twodimensional domain for evolving diverse and interesting artificial creatures. The hope is that this domain will fill a need for such an easily-accessible option for researchers who wish to focus more on the evolutionary dynamics of artificial life scenarios than on building simulators and creature encodings. The proposed domain is inspired ...