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The process of modeling of a real system usually implies an iterative approach where an initial model is incrementally modified in order to increase its accuracy with regard to available experimental data. Many approaches are discussed in the literature, among which some are based on Artificial Intelligence techniques. Continuous improvement in the mathematical model adequacy is very similar with...
This paper proposes an extension of the well-known MUSA method to fuzzy environment. The Fuzzy MUSA method gives much flexibility to decision makers because the majority of real-life decision problems were characterized by the uncertainty that hinders them from assigning exact evaluations to options The objective of the Fuzzy MUSA method is to make the method capable of accepting and processing fuzzy...
The continuous changes in electricity markets' mechanisms and operations turn this environment into a challenging domain for the participating entities. Simulation tools are increasingly being used for decision support purposes of such entities. In particular, multi-agent based simulation, which facilitates the modeling of different types of mechanisms and players, is being fruitfully applied to the...
The increasing integration degree of circuits in electronic systems makes faults detection and isolation more and more difficult. Design for testability (DFT) was applied to solve the problem. In this procedure, designers are required to set an optimum arrangement of sensors to achieve the best testability. But the search of the best test points combination is usually conducted by manual work. To...
Network on Chip (NoC) is a sophisticated communication infrastructure that provides quality of service (QoS) guarantees for a complex Systems-on-Chip (SoC) application. Some applications demand guaranteed end-to-end latency. Mapping algorithms are used to map an application on an NoC to satisfy the bandwidth constraints and end-to-end latency requirements. The design of the mapping algorithms determines...
This paper examines the impact of changes in dimensionality on a multi-layered genotype-phenotype mapped GA. To gain an understanding of the impact we carry out a series of experiments on a number of well understood problems and compare the performance of a simple GA (SGA) to that of a multi-layered GA (MGA) to demonstrate their ability to search landscapes with varying degrees of difficulty due to...
Software models are iteratively refined, restructured and evolved. The detection and analysis of changes applied between two versions of a model are one of the most important tasks during evolution and maintenance activities. In this paper, we propose an approach to detect high-level model changes in terms of refactorings. Our approach takes as input an exhaustive list of possible refactorings, the...
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