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Bilevel Parallel Genetic Algorithms for Optimization of Large Steel Structures
Author(s) -
Sarma Kamal C.,
Adeli Hojjat
Publication year - 2001
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/0885-9507.00234
Subject(s) - message passing interface , parallel computing , computer science , speedup , multiprocessing , scheme (mathematics) , message passing , parallel algorithm , distributed memory , shared memory , interface (matter) , genetic algorithm , bilevel optimization , algorithm , optimization problem , mathematics , mathematical analysis , bubble , maximum bubble pressure method , machine learning
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.