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Graph grammars and evolutionary methods in graphic design

Hliniak G., Strug B.

Machine Graphics and Vision

2000

Vol. 9, No. 1/2

5-13

A new approach to image generation being a combination of evolutionary methods and graph grammars is presented. Usually genetic algorithms operate on binary strings. We propose here to use composition graphs as genotypes representing structures of designed objects. Hence, a graph grammar combined with genetic operators constitutes a tool for creating images being phenotypes corresponding to generated graphs. A modified genetic algorithm which uses the graph representation and the graph grammar is described.

Function-structure computer-aided design model

Borkowski A., Grabska E., Hliniak G.

Machine Graphics and Vision

1999

Vol. 8, No. 3

367-381

This paper considers defining functional requirements of the designed object and transforming them into the object structure. The proposed Function Structure Editor (FSE) enables to bridge the gap between the design specification and the object structure. When utilising FSE the designer uses graph operations which are automatically transformed into graph rules allowing one to generate potential solutions of a given design problem. The proposed methodology is illustrated by examples of designing the teapot and the floor-layout of the house.

Graphics prints design using graph grammars

Grabska E., Hliniak G.

Machine Graphics and Vision

1998

Vol. 7, No. 1/2

345-353

The syntactic and semantic aspects of graphic design process are considered. The syntactic structures of prints are represented by graphs. Hence, graph grammars are tools for generation of graph representations of Escher's prints. The possible ways of a realisation of those representations are specified by a realisation scheme which maps into graphic print. The implementation of Escher's prints is also discussed.