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

O’Neill, Michael; McDermott, James; Swafford, John Mark; Byrne, Jonathan; Hemberg, Erik; Brabazon, Anthony; Shotton, Elizabeth; McNally, Ciarán; Hemberg, Martin

doi:10.1504/ijde.2010.032820

Cited by 33 publications

(32 citation statements)

References 41 publications

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“…This study is a continuation of our previous work that primarily focused on the aesthetic qualities of conceptual design [2]. Through the use of design grammars and an interactive fitness function we have shown that Grammatical Evolution (GE) [3] is capable of creating surprising and innovative designs.…”

Section: Introductionmentioning

confidence: 86%

Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design

Byrne

Fenton

Hemberg

et al. 2011

Applications of Evolutionary Computation

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This study evolves and categorises a population of conceptual designs by their ability to handle physical constraints. The design process involves a trade-off between form and function. The aesthetic considerations of the designer are constrained by physical considerations and material cost. In previous work, we developed a design grammar capable of evolving aesthetically pleasing designs through the use of an interactive evolutionary algorithm. This work implements a fitness function capable of applying engineering objectives to automatically evaluate designs and, in turn, reduce the search space that is presented to the user.

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Section: Introductionmentioning

confidence: 86%

Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design

Byrne

Fenton

Hemberg

et al. 2011

Applications of Evolutionary Computation

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“…Recent developments in computer science that use grammatical evolution [18][19][20] extend the repertoire of generative design strategies with an evolutionary approach using a reduced representation even for complex design cases. These systems build on the rule-based approach in shape grammar [21], but encompass the potential to drive the unfolding of computational designs based on behavioural systems in botom-up processes.…”

Section: Evolution In Designmentioning

confidence: 99%

Towards an Agile Biodigital Architecture: Supporting a Dynamic Evolutionary and Developmental View of Architecture

Gruber¹,

McGinley²,

Muehlbauer³

2018

Interdisciplinary Expansions in Engineering and Design With the Power of Biomimicry

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Architecture and biology are ields of high complexity. Generative design approaches provide access to continuously increasing complexity in design. Some of these methods are based on biological principles but usually do not communicate the conceptual base necessary to appropriately relect the input from biology into architecture. To address this, we propose a model for analysis and design of architecture based on a multistaged integrated design process that extends the common morphological process in digital morphogenesis with a typology-based ontological model. Biomimetics, an emerging ield to strategically search for information transfer from biology to technological application, will assist in delivering a frame of reference and methodology for establishing valid analogies between the diferent realms as well as integration of the biological concept into a larger framework of analogy to biological processes. As the biomimetic translation of process and systems information promises more radical innovation, this chapter focuses on the dynamic perspectives provided by biological development and evolution to model the complexity of architecture. The proposed process was used to inform ive parallel workshops to explore dynamic biological concepts in design. The potential of the process to investigate biomimetic processes in architecture is then discussed, and future work is outlined.

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“…Hart allowed the user to specify which type of mutation (and mutation rate) to apply because of the assumption that users sometimes have an intuition about what type of change is required to an individual [6]. The purpose of defining nodal and structural operators stems from our study of interactive design evolution [13]. During this study it was found that the user applied the mutation operator to explore areas of the design space that had produced interesting aesthetic designs.…”

Section: Related Researchmentioning

confidence: 99%

Implementing an intuitive mutation operator for interactive evolutionary 3D design

Byrne

McDermott

Galván

et al. 2010

IEEE Congress on Evolutionary Computation

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Abstract-Locality -how well neighbouring genotypes correspond to neighbouring phenotypes -has been described as a key element in Evolutionary Computation. Grammatical Evolution (GE) is a generative system as it uses grammar rules to derive a program from an integer encoded genome. The genome, upon which the evolutionary process is carried out, goes through several transformations before it produces an output. The aim of this paper is to investigate the impact of locality during the generative process using both qualitative and quantitative techniques. To explore this, we examine the effects of standard GE mutation using distance metrics and conduct a survey of the output designs. There are two different kinds of event that occur during standard GE Mutation. We investigate how each event type affects the locality on different phenotypic stages when applied to the problem of interactive design generation.

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

Cited by 33 publications

References 41 publications

Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design

Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design

Towards an Agile Biodigital Architecture: Supporting a Dynamic Evolutionary and Developmental View of Architecture

Implementing an intuitive mutation operator for interactive evolutionary 3D design

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