This paper proposes and surveys genetic implementations of algorithms for selection and partitioning of attributes in large-scale concept learning problems. Algorithms of this type apply relevance determination criteria to attributes from those specified for the original data set. The selected attributes are used to define new data clusters that are used as intermediate training targets. The pu...

blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...

Aimed at the shortcomings of current sports video image segmentation methods, such as rough results and high spatial distortion rate, a method based on fuzzy clustering algorithm is proposed. The second-order attribute with normal distribution gravity value established by using time-domain difference image, membership function given; then, clustered, motion result obtained edge detection. Exper...

The question of how cooperative groups can evolve and be maintained is fundamental to understanding the evolution of social behaviour in general, and the major transitions in particular. Here, we show how selection on an individual trait for group size preference can increase variance in fitness at the group-level, thereby leading to an increase in cooperation through stronger group selection. ...

We use digital evolution to study the division of labor among heterogeneous organisms under multiple levels of selection. Although division of labor is practiced by many social organisms, the labor roles are typically associated with different individual fitness effects. This fitness variation raises the question of why an individual organism would select a less desirable role. For this study, ...

Is it better for you to own a corkscrew or not? If asked, you as a human being would likely say " yes " , but more importantly, you are somehow able to make this decision. You are able to decide this, even if your current acute problems or task do not include opening a wine bottle. Similarly, it is also unlikely that you evaluated several possible trajectories your life could take and looked at...

The goal of this research is to apply genetic implementations of algorithms for selection, partitioning, and synthesis of attributes in largescale data mining problems. Domain knowledge about these operators has been shown to reduce the number of fitness evaluations for candidate attributes. We report results on genetic optimization of attribute selection problems and current work on attribute ...