Time optimizing in Economical Grid Using Adaptive Stochastic Petri Net Based on Learning Automata Intelligent approach in Economical Grid
نویسندگان
چکیده
in this paper, intelligent algorithm of ALATO based on Learning Automata using Adaptive Stochastic Petri Net presented to optimize the time in Economical Grid. Adaptive Stochastic Petri nets based on learning automata predicts the following optimized state through getting information from former system states and dynamic environmental reactions, makes the system current states appeared based on that, changes the probability of events occurrences during the time and causes the events to be activated based on probability of occurrence. Comparing suggested algorithm and the existed algorithm has been shown in which the mentioned algorithm acts a significant decline in considered time in 200 considered independent tasks. Keywords-Economical Grid; Adaptive Stochastic Petri Net(ASPN); Learning Automata; Time Optimization
منابع مشابه
ALATO: An efficient intelligent algorithm for time optimization in an economic grid based on adaptive stochastic Petri net
Cost and execution time are important issues in economic grids, which are widely used for parallel computing. This paper proposes ALATO, an intelligent algorithm based on learning automata and adaptive stochastic Petri nets (ASPNs) that optimizes the execution time for tasks in economic grids. ASPNs are based on learning automata that predict their next state based on current information and th...
متن کاملMini/Micro-Grid Adaptive Voltage and Frequency Stability Enhancement Using Q-learning Mechanism
This paper develops an adaptive control method for controlling frequency and voltage of an islanded mini/micro grid (M/µG) using reinforcement learning method. Reinforcement learning (RL) is one of the branches of the machine learning, which is the main solution method of Markov decision process (MDPs). Among the several solution methods of RL, the Q-learning method is used for solving RL in th...
متن کاملFormal approach on modeling and predicting of software system security: Stochastic petri net
To evaluate and predict component-based software security, a two-dimensional model of software security is proposed by Stochastic Petri Net in this paper. In this approach, the software security is modeled by graphical presentation ability of Petri nets, and the quantitative prediction is provided by the evaluation capability of Stochastic Petri Net and the computing power of Markov chain. Each...
متن کاملGRAIL : Grid-enabled Performance Analysis using Stochastic Logics
This paper aims at introducing our latest research efforts in the fields of performance analysis, stochastic logics and Grid technology adaptation. We are currently exploring a new approach for a humanfriendly and intelligent graphical specification of Quality of Service-related performance requirements for industrial-scale real-life systems. Such systems are modelled by stochastic Petri nets, ...
متن کاملFinding the Shortest Path in Stochastic Graphs Using Learning Automata and Adaptive Stochastic Petri Nets
Shortest path problem in stochastic graphs has been recently studied in the literature and a number of algorithms has been provided to find it using varieties of learning automata models. However, all these algorithms suffer from two common drawbacks: low speed and lack of a clear termination condition. In this paper, we propose a novel learning automata-based algorithm for this problem which c...
متن کامل