Evolutionary design using grammatical evolution and shape grammars: designing a shelter

Evolving a logo design using Lindenmayer systems, Postscript & Grammatical Evolution

We present an application of Grammatical Evolution to the exploration of Lindenmayer systems. The resulting L-systems are expressed in the Postscript language, and as such a Postscript grammar was provided as input to the Grammatical Evolution algorithm. The system takes the form of an interactive evolutionary algorithm, with a human-in-theloop acting as the fitness function for the generated L...

Design with shape grammars and reinforcement learning

Shape grammars are a powerful and appealing formalism for automatic shape generation in computer-based design systems. This paper presents a proposal complementing the generative power of shape grammars with reinforcement learning techniques. We use simple (naive) shape grammars capable of generating a large variety of different designs. In order to generate those designs that comply with given...

Credit Classification Using Grammatical Evolution

Grammatical Evolution (GE) is a novel data driven, model induction tool, inspired by the biological geneto-protein mapping process. This study provides an introduction to GE, and demonstrates the methodology by applying it to model the corporate bond-issuer credit rating process, using information drawn from the financial statements of bond-issuing firms. Financial data and the associated Stand...

String-rewriting grammars for evolutionary architectural design

Evolutionary methods aff ord a productive and creative alternative design workfl ow. Crucial to success is the choice of formal representation of the problem. String-rewriting context-free grammars (CFGs) are one common option in evolutionary computation, but their suitability for design is not obvious. Here, a CFG-based evolutionary algorithm for design is presented. The process of meta-design...

Grammatical Evolution: A Tutorial using gramEvol