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November 2, 2009

Using Genetic Algorithms to Blend a Diesel-Gasoline Cocktail

An engine research team at the University of Wisconsin-Madison is using genetic algorithms as part of an investigation into the possibility of creating an engine that could be programmed to use both diesel and gasoline fuels, harvesting the best properties of each fuel by blending them on the fly. This technique, described as "fast-response fuel blend," would program the fuel injection system of an engine to produce the optimal mix of diesel and gasoline fuels based on a real-time analysis of operating conditions. The team, led by Professor Rolf Reitz, is creating computer models and simulations that use genetic algorithms to determine the best variables for engine performance. Tests have already shown that such an engine would produce significantly lower levels of polluting emissions and provide 20% greater fuel efficiency.

Posted by BlogAuthor1 at November 2, 2009 5:48 PM
category: Evolutionary Computation

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