Models-based Optimization Methods for the Specification of Fuzzy Inference Systems in Discrete EVent Simulation
نویسنده
چکیده
In this paper, we present our work in the field of computational intelligence and discrete event systems. Knowledge representation and the inclusion of imperfect knowledge is a key step in an effort to optimally incorporate artificial intelligence methods in a modeling and simulation framework. Fuzzy Inference Systems (FIS) are one of the most used applications of Fuzzy Logic and Fuzzy Sets Theory. They have the advantage of relying on the properties of Fuzzy Logic to represent imperfect information so gradually, and manipulate them from a linguistic description. This flexibility of representation is more significant for the study of complex systems. We wish to extend the Discrete EVent system Specification (DEVS) formalism to represent FIS and we propose a modular and generic approach (DEVFIS) to integrate in this new extension various optimization methods.
منابع مشابه
Optimal design of supply chain network under uncertainty environment using hybrid analytical and simulation modeling approach
Models that aim to optimize the design of supply chain networks have gained more interest in the supply chain literature. Mixed-integer linear programming and discrete-event simulation are widely used for such an optimization problem. We present a hybrid approach to support decisions for supply chain network design using a combination of analytical and discrete-event simulation models. The prop...
متن کاملModeling and Evaluation of Stochastic Discrete-Event Systems with RayLang Formalism
In recent years, formal methods have been used as an important tool for performance evaluation and verification of a wide range of systems. In the view points of engineers and practitioners, however, there are still some major difficulties in using formal methods. In this paper, we introduce a new formal modeling language to fill the gaps between object-oriented programming languages (OOPLs) us...
متن کاملModeling and Evaluation of Stochastic Discrete-Event Systems with RayLang Formalism
In recent years, formal methods have been used as an important tool for performance evaluation and verification of a wide range of systems. In the view points of engineers and practitioners, however, there are still some major difficulties in using formal methods. In this paper, we introduce a new formal modeling language to fill the gaps between object-oriented programming languages (OOPLs) us...
متن کاملHybrid Probabilistic Search Methods for Simulation Optimization
Discrete-event simulation based optimization is the process of finding the optimum design of a stochastic system when the performance measure(s) could only be estimated via simulation. Randomness in simulation outputs often challenges the correct selection of the optimum. We propose an algorithm that merges Ranking and Selection procedures with a large class of random search methods for continu...
متن کاملModels-based Optimization Methods for the Specication of Fuzzy Inference Systems in Discrete EVent Simulation
Fuzzy Inference Systems (FIS) have the advantage of relying on the properties of Fuzzy Logic to represent imperfect information so gradually, and manipulate them from a linguistic description. This exibility of representation is more signi cant for the study of complex systems. Our aims are to propose a formal approach for describing FIS as a Discrete Event System (DES), and to extend a DES in ...
متن کامل