This paper presents an exact model for the resource investment problem with generalized precedence relations in which the minimum or maximum time lags between a pair of activities may vary depending on the chosen modes. All resources considered are renewable. The objective is to determine a mode and a start time for each activity so that all constraints are obeyed and the resource investment co...

A new adaptive anomaly detection framework, based on the use of unsupervised evolving connectionist systems, is proposed to address the issue of concept drift. It is designed to adapt to normal behavior changes while still recognizing anomalies. The evolving connectionist systems learn a subject’s behavior in an online, adaptive fashion without a priori knowledge of the underlying data distribu...

An intelligent detect system to recognition unknown computer virus is proposed. Using the method based on fuzzy pattern recognition algorithm, a malicious executable code detection network model is designed also. This model target at Win32 binary viruses on Intel IA32 architectures. It could detect known and unknown malicious code by analyzing their behavior. We gathered 423 benign and 209 mali...

In this paper, the effect of fuzzy time series on estimates spectral, bispectral and normalized density functions are studied. This study is conducted for one integer autoregressive order (INAR(1)) models. The model interest here dependent counting geometric INAR(1) which symbolized by (DCGINAR(1)). A realization generated size n = 500 estimation. Based series, forecasted observations obtained....

in this paper a network comprising alternative branching nodes with probabilistic outcomes is considered. in other words, network nodes are probabilistic with exclusive-or receiver and exclusive-or emitter. first, an analytical approach is proposed to simplify the structure of network. then, it is assumed that the duration of activities is positive trapezoidal fuzzy number (tfn). this paper com...

fuzzy time series have been developed during the last decade to improve the forecast accuracy. many algorithms have been applied in this approach of forecasting such as high order time invariant fuzzy time series. in this paper, we present a hybrid algorithm to deal with the forecasting problem based on time variant fuzzy time series and particle swarm optimization algorithm, as a highly effici...

Preservation of comfort conditions for buildings’ occupants and minimization of energy consumption and cost are the main targets of the energy and indoor environment management systems. This paper aims to achieve those targets by presenting the optimal operation of chilling systems within the building supervisory control systems using fuzzy control instead of a conventional Programmable Logic C...