Titlebook: Seminal Contributions to Modelling and Simulation; 30 Years of the Euro Khalid Al-Begain,Andrzej Bargiela Book 2016 Springer International

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Control Law and Pseudo Neural Networks Synthesized by Evolutionary Symbolic Regression Technique,r novel approach to classification and system control. In the first case, classification technique—pseudo neural network is synthesized, i.e. relation between inputs and outputs created. The inspiration came from classical artificial neural networks where such a relation between inputs and outputs i

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On Practical Automated Engineering Design,ptimization methods can help to find optimal designs automatically. However, it is demonstrated in this work that an optimal design is often not robust against variations caused by the manufacturing process, which would result in unsatisfactory product quality. In order to avoid this, a meta-method

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Flow-Level Packet Loss Analysis of a Markovian Bottleneck Buffer,y the packet loss ratio, the fraction of packets that are lost in a buffer. While this measure captures part of the loss performance of the buffer, we show that it is insufficient to quantify the effect of loss on user-perceived quality of service for multimedia streaming applications. In this contr

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Fitting Methods Based on Distance Measures of Marked Markov Arrival Processes,chapter, we focus on the family of Markov-modulated point processes, and propose some fitting methods. The core of these methods is the computation of the distance between elements of the model family. First, we introduce a methodology for computing the squared distance between the density functions

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Markovian Agent Models: A Dynamic Population of Interdependent Markovian Agents,vian Agents (MA), guided by stochastic behaviours. An MA is characterized by a finite number of states over which a transition kernel is defined. Transitions can either be local, or induced by the state of other agents in the system. Agents operate in a space that can be either continuous, or compos

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Fuzzy Modelling and Fuzzy Collaborative Modelling: A Perspective of Granular Computing,ke them in rapport with experimental data. Two main directions of granular fuzzy modelling dealing with distributed data and collaborative system modelling and transfer knowledge are formulated and the ensuing design strategies are outlined.

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Book 2016dvances in the field of modelling and simulation, as well as key applications of simulation in other disciplines. The broad-ranging volume presents contributions from a varied selection of distinguished experts chosen from high-impact keynote speakers and best paper winners from the conference, incl

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