High quality offset printing: an evolutionary approach

Authors:
Ralf Joost;Ralf Salomon
Affiliations:
University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany
Venue:
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Year:
2007

Citing 3
Cited 1

Evolutionary computation: toward a new philosophy of machine intelligence

Evolutionary computation: toward a new philosophy of machine intelligence
Evolution and Optimum Seeking: The Sixth Generation

Evolution and Optimum Seeking: The Sixth Generation
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning

Review: Advances in computational intelligence-based print quality assessment and control in offset colour printing

Expert Systems with Applications: An International Journal

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Abstract

Print media are still very important for everyone's daily life. Current efforts are concerned with the application of the well-established offset-printing technology to other media, particularly cardboards, which require some substantial adaptations. To this end, this paper proposed a new specific pre-processing stage. This pre-processing stage can be configured by several parameters. This paper optimizes these parameter settings by using evolution strategies. It turns out that this optimization reduces the required energy and the number of wrongly generated pixels by about 15%, respectively.