In discrete event systems, a given task can start executing when all the required input data are available. The required input data for a given task may change along the evolution...
In this paper we present an analytical model for estimating architecture-based software reliability, according to the reliability of each component, the operational profile, and t...
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
In this paper the problem of developing bidding strategies for the participants of dynamic energy-multi markets is studied. Attention is given to strategic bidding of load serving...
: This paper presents a queuing analysis model of a PC-based software router supporting IPv6-IPv4 translation for residential gateway. The proposed models are M/G/1/K or MMPP-2/G/1...