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Nowadays, the international community demands to develop new ways to diminish the effects on the growing environmental damage, either by changing development processes and products, or by developing new ways to make those existing products less harmful to the environment. This paper tries to develop an expert system based on fuzzy logic to reduce the pollution produced by spark ignition engines, taking...
This paper presents a characterization study of agent algorithms of distributed diagnosis, for real-time scheduling and on-line implementation. These parameters will be used to optimize the strategies of real-time distributed diagnosis. The characterization of execution parameters of an agent algorithm must satisfy the diagnosis time constraints related to the availability objective of the each equipment,...
This paper describes a methodology based on genetic algorithms (GA) and experiments plan to optimize the availability and the cost of reparable parallel-series systems. It is a NP-hard problem of multi-objective combinatorial optimization, modeled with continuous and discrete variables. By using the weighting technique, the problem is transformed into a single-objective optimization problem whose...
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