Mooring pattern optimization using a genetic algorithm
In this paper, a constraint Genetic Algorithm is used for the purpose of mooring pattern optimization. The Genetic Algorithm is applied through a mathematical formulation which is introduced to define a typical mooring system optimization problem. The mathematical formulation is used in a case study...
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Online Access: | http://eprints.utm.my/id/eprint/54175/1/MahdiMirzaei2014_Mooringpatternoptimizationusing.pdf http://eprints.utm.my/id/eprint/54175/ http://dx.doi.org/10.11113/jt.v66.2519 |
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my.utm.541752018-07-30T08:51:41Z http://eprints.utm.my/id/eprint/54175/ Mooring pattern optimization using a genetic algorithm Mirzaei, Mahdi Abdul Malik, Adi Maimun Priyanto, Agoes Fitriadhy, Ahmad TJ Mechanical engineering and machinery In this paper, a constraint Genetic Algorithm is used for the purpose of mooring pattern optimization. The Genetic Algorithm is applied through a mathematical formulation which is introduced to define a typical mooring system optimization problem. The mathematical formulation is used in a case study on a spread moored crane barge, operating in the vicinity of a jacket type platform, in order to minimize its surge motions towards the platform. For this purpose, a set of criteria regarding clearances between anchors and seabed preinstalled facilities (pipelines), and also between the crane barge and the jacket platform are presented and considered. An automatic process of repetitive analyses implementing a MATLAB code as an interface between the Genetic Algorithm and a mooring system analysis program is used, and an optimum solution is resulted by performing 4000 quasi-dynamic analyses in time domain. The effectiveness of the Genetic Algorithm in leading to an optimum mooring system pattern is studied and it is shown that using a proper formulation of the problem, the Genetic Algorithm can be a very useful tool for finding an optimum pattern for mooring systems in fields with constraints on anchor locations and vessel motions Penerbit UTM 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/54175/1/MahdiMirzaei2014_Mooringpatternoptimizationusing.pdf Mirzaei, Mahdi and Abdul Malik, Adi Maimun and Priyanto, Agoes and Fitriadhy, Ahmad (2014) Mooring pattern optimization using a genetic algorithm. Jurnal Teknologi (Sciences and Engineering), 66 (2). pp. 189-193. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v66.2519 DOI: 10.11113/jt.v66.2519 |
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TJ Mechanical engineering and machinery Mirzaei, Mahdi Abdul Malik, Adi Maimun Priyanto, Agoes Fitriadhy, Ahmad Mooring pattern optimization using a genetic algorithm |
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In this paper, a constraint Genetic Algorithm is used for the purpose of mooring pattern optimization. The Genetic Algorithm is applied through a mathematical formulation which is introduced to define a typical mooring system optimization problem. The mathematical formulation is used in a case study on a spread moored crane barge, operating in the vicinity of a jacket type platform, in order to minimize its surge motions towards the platform. For this purpose, a set of criteria regarding clearances between anchors and seabed preinstalled facilities (pipelines), and also between the crane barge and the jacket platform are presented and considered. An automatic process of repetitive analyses implementing a MATLAB code as an interface between the Genetic Algorithm and a mooring system analysis program is used, and an optimum solution is resulted by performing 4000 quasi-dynamic analyses in time domain. The effectiveness of the Genetic Algorithm in leading to an optimum mooring system pattern is studied and it is shown that using a proper formulation of the problem, the Genetic Algorithm can be a very useful tool for finding an optimum pattern for mooring systems in fields with constraints on anchor locations and vessel motions |
format |
Article |
author |
Mirzaei, Mahdi Abdul Malik, Adi Maimun Priyanto, Agoes Fitriadhy, Ahmad |
author_facet |
Mirzaei, Mahdi Abdul Malik, Adi Maimun Priyanto, Agoes Fitriadhy, Ahmad |
author_sort |
Mirzaei, Mahdi |
title |
Mooring pattern optimization using a genetic algorithm |
title_short |
Mooring pattern optimization using a genetic algorithm |
title_full |
Mooring pattern optimization using a genetic algorithm |
title_fullStr |
Mooring pattern optimization using a genetic algorithm |
title_full_unstemmed |
Mooring pattern optimization using a genetic algorithm |
title_sort |
mooring pattern optimization using a genetic algorithm |
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Penerbit UTM |
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2014 |
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http://eprints.utm.my/id/eprint/54175/1/MahdiMirzaei2014_Mooringpatternoptimizationusing.pdf http://eprints.utm.my/id/eprint/54175/ http://dx.doi.org/10.11113/jt.v66.2519 |
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