Data Parallel Fuzzy Genetic Algorithm for Cost Optimization of Large Space Steel Structures

A data parallel fuzzy genetic algorithm is presented for cost optimization of large space steel structures subjected to commonly-used design codes such as the American Institute of Steel Construction (AISC) Allowable Stress Design (ASD) and Load and Resistance Factor Design (LRFD) specifications. The algorithm is implemented on a distributed shared-memory multiprocessor, Origin 2000, using the OpenMP API (Application Programming Interface), and evaluated through application to two large space structures including a 144-storey moment resisting space building structure with more than 20,000 members.

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