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Bilevel Parallel Genetic Algorithms for Optimization of Large Steel Structures

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Sarma, Kamal C., Adeli, Hojjat·2001·Computer-Aided Civil and Infrastructure Engineering

Abstract

This article is concerned with optimization of very large steel structures subjected to the actual constraints of the American Institute of Steel Construction ASD and LRFD specifications on high‐performance multiprocessor machines using biologically inspired genetic algorithms. First, parallel fuzzy genetic algorithms (GAs) are presented for optimization of steel structures using a distributed memory Message Passing Interface (MPI) with two different schemes: the processor farming scheme and the migration scheme. Next, two bilevel parallel GAs are presented for large‐scale structural optimization through judicious combination of shared memory data parallel processing using the OpenMP Application Programming Interface (API) and distributed memory message passing parallel processing using MPI. Speedup results are presented for parallel algorithms.

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Metadata

Authors
Sarma, K. C., & Adeli, H.
Venue
Computer-Aided Civil and Infrastructure Engineering
Publisher
Elsevier BV
Published
2001-09
Volume
16
Issue
5
Pages
295-304
ISSN
  • 1093-9687 (ISSN-L)
  • 1467-8667
OpenAlex
W2092178231
Cited by
167
References
0
FWCI
3.00
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Bilevel Parallel Genetic Algorithms for Optimization of Large Steel Structures. https://app.cochat.ai/papers/10.1111/0885-9507.00234
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Sarma, K. C., & Adeli, H. (2001). Bilevel Parallel Genetic Algorithms for Optimization of Large Steel Structures. Computer-Aided Civil and Infrastructure Engineering. https://doi.org/10.1111/0885-9507.00234

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.