Robustness of Dealock Avoidance Algorithms for Sequential Processes
نویسنده
چکیده
Although deadlock avoidance issue has attracted much attention and has been extensively studied, most of the existing results assume reliable machines, which makes it difficult to apply existing deadlock avoidance algorithms to a real manufacturing system with unreliable machines. This paper presents the results to apply existing deadlock avoidance algorithms to systems with unreliable machines by analysing the robustness of the deadlock avoidance algorithms. Sequential production processes are considered in this paper and Petri Net is adopted as the tool for modelling and analysis of the sequential processes. The tolerable machine failure under which liveness property can be preserved is characterized. Copyright © 2002 IFAC
منابع مشابه
Robustness of deadlock avoidance algorithms for sequential processes
Although deadlock avoidance issue has attracted much attention and has been extensively studied, most of the existing results assume reliable machines. This assumption makes it di1cult to apply existing deadlock avoidance algorithms to real manufacturing systems with unreliable machines. This paper presents the results to apply an existing deadlock avoidance algorithm to systems with unreliable...
متن کاملSequential and Mixed Genetic Algorithm and Learning Automata (SGALA, MGALA) for Feature Selection in QSAR
Feature selection is of great importance in Quantitative Structure-Activity Relationship (QSAR) analysis. This problem has been solved using some meta-heuristic algorithms such as: GA, PSO, ACO, SA and so on. In this work two novel hybrid meta-heuristic algorithms i.e. Sequential GA and LA (SGALA) and Mixed GA and LA (MGALA), which are based on Genetic algorithm and learning automata for QSAR f...
متن کاملSequential and Mixed Genetic Algorithm and Learning Automata (SGALA, MGALA) for Feature Selection in QSAR
Feature selection is of great importance in Quantitative Structure-Activity Relationship (QSAR) analysis. This problem has been solved using some meta-heuristic algorithms such as: GA, PSO, ACO, SA and so on. In this work two novel hybrid meta-heuristic algorithms i.e. Sequential GA and LA (SGALA) and Mixed GA and LA (MGALA), which are based on Genetic algorithm and learning automata for QSAR f...
متن کاملOPTIMAL DESIGN OF DOUBLE LAYER GRIDS CONSIDERING NONLINEAR BEHAVIOUR BY SEQUENTIAL GREY WOLF ALGORITHM
The present paper tackles the optimization problem of double layer grids considering nonlinear behaviour. In this paper, an efficient optimization algorithm is proposed to achieve the optimization task based on the newly developed grey wolf algorithm (GWA) termed as sequential GWA (SGWA). In the framework of SGWA, a sequence of optimization processe...
متن کاملDesign and Test of New Robust QCA Sequential Circuits
One of the several promising new technologies for computing at nano-scale is quantum-dot cellular automata (QCA). In this paper, new designs for different QCA sequential circuits are presented. Using an efficient QCA D flip-flop (DFF) architecture, a 5-bit counter, a novel single edge generator (SEG) and a divide-by-2 counter are implemented. Also, some types of oscillators, a new edge-t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002