In this work, we describe a flexible
system for automatic page layout that makes use of genetic
algorithms for albuming applications. The system is divided into
two modules, a page creator module which is responsible for
distributing images amongst various album pages, and an image
placement module which positions images on individual pages. Final
page layouts are specified in a textual form using XML for
printing or viewing over the Internet. The system makes use of
genetic algorithms, a class of search and optimization algorithms
that are based on the concepts of biological evolution, for
generating solutions with fitness based on graphic design
preferences supplied by the user. The system has demonstrated the
feasibility of using genetic algorithms for automated page layout
in albuming and web-based imaging applications. We believe that
the system adequately proves the validity of the concept,
providing creative layouts in a reasonable number of
iterations. By optimizing the layout parameters of the
fitness function, we hope to further improve the quality of the
final layout in terms of user preference and computation speed.
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