An optimization can be specified as sequential compositions of predefined transformation primitives. For each primitive, we can define soundness conditions which guarantee that th...
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
We present the framework of a new grid architecture based on the peer-to-peer and the component paradigms. In our architecture, several peer-to-peer components are loosely coupled...
Abstract. In this paper, we give an overview of the Locomotive Simulater/Optimizer (LSO) decision support system developed by us for railroads. This software is designed to imitate...
Artyom G. Nahapetyan, Ravindra K. Ahuja, F. Zeynep...
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...