Domestication of animals has had some important effects on physiology, morphology, behavior and well-being of domesticated animals. Conscious or goal directed selections on animals for increasing their productions has accelerated the rate of the changes, leading to some well-being defections. This paper notes some aspects of animal domestication in context of genetic science. Then explains how ...

A major obstacle which limits the possibilities of a number of machine learning techniques like the genetic algorithm is the lack of mechanisms which allow for the dynamic construction of hierarchically organized solutions or artifacts. In the context of the GA, such mechanisms would require some form grouping or social behavior. Yet, this type of behavior is per definition maladaptive in the c...

In this article different types of artificial neural networks (ANN) were used for CNTFET (carbon nanotube transistors) simulation. CNTFET is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. In determining the accurate output drain current of CNTFET, time lapsed and accuracy of different simulation methods were compared. The training data for...

in this paper, multi-objective uniform-diversity genetic algorithm (muga) with a diversity preserving mechanism called the ε-elimination algorithm is used for pareto optimization of 5-degree of freedom vehicle vibration model considering the five conflicting functions simultaneously. the important conflicting objective functions that have been considered in this work are, namely, vertical accel...

In this paper, multi-objective uniform-diversity genetic algorithm (MUGA) with a diversity preserving mechanism called the ε-elimination algorithm is used for Pareto optimization of 5-degree of freedom vehicle vibration model considering the five conflicting functions simultaneously. The important conflicting objective functions that have been considered in this work are, namely, vertical accel...

objective(s): this study addresses feature selection for breast cancer diagnosis. the present process uses a wrapper approach using ga-based on feature selection and ps-classifier. the results of experiment show that the proposed model is comparable to the other models on wisconsin breast cancer datasets. materials and methods: to evaluate effectiveness of proposed feature selection method, we ...