In multicriteria optimization, several objective functions, conflicting with each other, have to be minimized simultaneously. We propose a new efficient method for approximating t...
This paper deals with value (and Q-) function approximation in deterministic Markovian decision processes (MDPs). A general statistical framework based on the Kalman filtering pa...
A hybrid Neural-Genetic algorithm (NG) is presented for the frequency assignment problem in satellite communications (FAPSC). The goal of this problem is minimizing the cochannel i...
— Energy of Wheeled Mobile Robot (WMR) is usually supplied by batteries with finite energy. In order to extend run-time of battery-powered WMR, it is necessary to minimize the e...
We consider the problem of optimizing the parameters of an arbitrary denoising algorithm by minimizing Stein’s Unbiased Risk Estimate (SURE) which provides a means of assessing ...