2016
DOI: 10.1016/j.oceaneng.2015.11.002
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Optimized design of statically equivalent mooring systems

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Cited by 23 publications
(2 citation statements)
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“…The process involves in general an architectural design phase during which the truncation point and a first estimate of line properties, possibly clump weights, or blocking springs are decided upon. The parameters of the truncated system are then refined by solving an optimization problem [9,10,11], whose objective function is a measure of the difference between the static characteristic of the full-depth and truncated systems. The constraints of the optimization problem can be related to the manufacturability and integrity of the truncated system.…”
Section: Previous Workmentioning
confidence: 99%
“…The process involves in general an architectural design phase during which the truncation point and a first estimate of line properties, possibly clump weights, or blocking springs are decided upon. The parameters of the truncated system are then refined by solving an optimization problem [9,10,11], whose objective function is a measure of the difference between the static characteristic of the full-depth and truncated systems. The constraints of the optimization problem can be related to the manufacturability and integrity of the truncated system.…”
Section: Previous Workmentioning
confidence: 99%
“…Monteiro et al [10] compared the Particle Swarm Optimization (PSO) method and Differential Evolution (DE) method by designing a mooring system for a deep-sea floating production platform. Gonzalez and Mercier [11] designed static equivalent moorings using a Genetic Algorithm (GA) to replace a conventional mooring system when testing deep water offshore facilities. The conclusions showed that beyond a certain minimum, increasing population size does not lead to noticeably improved optimal designs as measured by the fitness function.…”
Section: Introductionmentioning
confidence: 99%