Parallel Dynamic Optimization of Steel Risers
2010 ◽
Vol 133
(1)
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Keyword(s):
This paper addresses the use of optimization techniques in the design of a steel riser. Two methods are used: the genetic algorithm, which imitates the process of natural selection, and the simulated annealing, which is based on the process of annealing of a metal. Both of them are capable of searching a given solution space for the best feasible riser configuration according to predefined criteria. Optimization issues are discussed, such as problem codification, parameter selection, definition of objective function, and restrictions. A comparison between the results obtained for economic and structural objective functions is made for a case study. Optimization method parallelization is also addressed.
2005 ◽
Vol 219
(10)
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pp. 735-758
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2007 ◽
Vol 11
(5)
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pp. 469-477
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2006 ◽
Vol 10
(6)
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pp. 921-930
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Keyword(s):
2012 ◽
Vol 178-181
◽
pp. 2871-2876
2020 ◽
Vol 14
(2)
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pp. 189