Visual surveillance and monitoring have aroused interest in the computer video community for many years. The main task of these applications is to identify (and track) moving targ...
: In this paper we propose an approach for discrete event systems control optimization, based on the theory developed by Ramadge and Wonham and on the Limited Lookahead Policy stra...
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
In this paper we introduce the completed unit algorithm (CU-AL), a probabilistic scheduling methodology for repetitive projects. The algorithm has two main advantages, simplicity ...