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|Title:||Using Evolutionary Computation to explore geometry and topology without ground structures|
|Description:||Extended abstract for IASS-IACM 2008 International Conference in Ithaca, NY (Cornell University);Over the past two decades there has been an increasing interest in using what has come to be called Evolutionary Computation (EC) in the analysis and optimization of structural systems. These methods include Genetic Algorithms (GA), Evolution Strategies (ES), Simulated Annealing and other stochastic based numerical methods. Each of these methods shares the drawback that they are very computationally intensive compared to deterministic methods. Furthermore, the computational burden can rapidly increase as the size of the analyzed structure increases. This paper suggests that the level of computation can be significantly reduced by avoiding the common practice of using ground structures in coding the topology. Additionally, comparative examples show that a broader range of good solutions can be reached when the use of ground structures is avoided.|
|Other Identifiers:||Proceedings of the 6th International Conference on Computation of Shell and Spatial Structures <http://hdl.handle.net/2027.42/58661>|
|Type Of Material:||Article|
|Appears in Collections:||Architecture and Urban Planning, A. Alfred Taubman College of|
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