Morphogenic Evolutionary Design: Cellular Automata Representations in Topological Structural Design

  • Rafal Kicinger
  • Tomasz Arciszewski
  • Kenneth De Jong


This paper provides the initial results of a study on the applications of cellular automata representations in evolutionary design of topologies of steel structural systems in tall buildings. In the paper, a brief overview of the state of the art in cellular automata and evolutionary design representations is presented. Next, morphogenic evolutionary design is introduced and illustrated by several types of cellular automata representations. Further, Emergent Designer, a unique evolutionary design tool developed at George Mason University, is briefly described. It is an integrated research and design support tool which applies models of complex adaptive systems to represent engineering systems and analyze design processes. The paper also reports the initial results of several structural design experiments conducted with Emergent Designer. The objective of the experiments was to determine feasibility of various types of cellular automata representations in topological structural optimization. Finally, initial research conclusions and recommendations for the further research are provided.


Cellular Automaton Design Concept Initial Configuration Local Neighborhood Design Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Rafal Kicinger
    • 1
  • Tomasz Arciszewski
    • 2
  • Kenneth De Jong
    • 3
  1. 1.Information Technology and Engineering SchoolGeorge Mason UniversityFairfaxVirginia
  2. 2.Civil, Environmental and Infrastructure Engineering DepartmentGeorge Mason UniversityFairfaxVirginia
  3. 3.Computer Science DepartmentGeorge Mason UniversityFairfaxVirginia

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