An Assessment of String-Rewriting Grammars for Evolutionary Architectural Design

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{McDermottSHBHFMSO:2012:EPBAAoSRGfEAD,

• author = "James McDermott and John Mark Swafford and Martin Hemberg and Jonathan Byrne and Erik Hemberg and Michael Fenton and Ciaran McNally and Elizabeth Shotton and Michael O'Neill",
• title = "An Assessment of String-Rewriting Grammars for Evolutionary Architectural Design",
• journal = "Environment and Planning B",
• year = "2012",
• volume = "39",
• number = "4",
• pages = "713--731",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.envplan.com/abstract.cgi?id=b38037",
• DOI = "doi:10.1068/b38037",
• size = "19 pages",
• abstract = "Evolutionary methods afford a productive and creative alternative design workflow. 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 is described, in which the CFG is created and then refined to produce an improved design language. CFGs are contrasted with another grammatical formalism better known in architectural design: Stiny's shape grammars. The advantages and disadvantages of the two types of grammars for design tasks are discussed.",
• notes = "GEVA",

}

Genetic Programming entries for James McDermott John Mark Swafford Martin Hemberg Jonathan Byrne Erik Hemberg Michael Fenton Ciaran McNally Elizabeth Shotton Michael O'Neill

Citations