A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning

Abstract

In this paper, application of an evolutionary strategy to positioning a GI/M/1/N -type finite-buffer queueing system with exhaustive service and a single vacation policy is presented. The examined object is modeled by a conditional joint transform of the first busy period, the first idle time and the number of packets completely served during the first busy period. A mathematical model is defined recursively by means of input distributions. In the paper, an analytical study and numerical experiments are presented. A cost optimization problem is solved using an evolutionary strategy for a class of queueing systems described by exponential and Erlang distributions.

Automatic Classification of Fruit Defects based on Co-Occurrence Matrix and Neural Networks

“…However, for fast and precise quality standards, this approach is not competitive and sometimes unreliable. Therefore is paramount to use of an automatic system based on intelligent methods [1], [2], [3], [4], [5], [6]. The aim of this paper is to investigate the applicability of the Artificial Intelligence (AI) methods based on soft computing for detection of external defects of the fruits.…”

A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification

“…[27,54,53,66,68,96,101]). In the process of evolution (evolution of parameters) all parameters of the neuro-fuzzy system (2) will be found.…”

Simplified firefly algorithm for 2D image key-points search

“…Some aspects of positioning computing network models by the use of EC are presented in [4], [5], [6] and [7], [8] or [9]. In [10], [11] and [12], [13] applications of EC methods in dynamic systems positioning and simulation is presented.…”