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Gaussian adaptation (view source)
Revision as of 15:23, February 20, 2008
, 15:23, February 20, 2008→History
Gaussian adaptation was used for the first time in 1969 as a pure optimization algorithm making the regions of acceptability smaller and smaller. Since 1970 it has been used for both ordinary optimization and manufacturing yield maximization.
Gaussian adaptation was used for the first time in 1969 as a pure optimization algorithm making the regions of acceptability smaller and smaller. Since 1970 it has been used for both ordinary optimization and manufacturing yield maximization.
In 1972 Gaussian adaptation was tested on a complex technical system. The model of the system included 450 components (each of which had a parameter value) of which 130 were adjustable. Some early tests seemed promising. But then a joker said: “In this project nothing should be left to chance”. This, of course, was a good intention as long as all the stops were pulled out. But there was also a hidden meaning: The algorithm worked at random, and it should therefore not be used in this project.
In 1972 Gaussian adaptation was tested on a complex signal processing system. The model of the system included 450 components (each of which had a parameter value) of which 130 were adjustable. Some early tests seemed promising. But then a joker said: “In this project nothing should be left to chance”. This, of course, was a good intention as long as all the stops were pulled out. But there was also a hidden meaning: The algorithm worked at random, and it should therefore not be used in this project.
After one year of hard work with deterministic methods - available at that time - a passable system was found, but because parameter values of components vary in the manufacturing process, only 5% of the manufactured systems were able to meet all requirements according to the specifications.
After one year of hard work with deterministic methods - available at that time - a passable system was found, but because parameter values of components vary in the manufacturing process, only 5% of the manufactured systems were able to meet all requirements according to the specifications.