A multi-objective DIRECT algorithm for ship hull optimization
The paper is concerned with black-box nonlinear constrained multi-objective optimization problems. Our interest is the definition of a multi-objective deterministic partition-based algorithm. The main target of the proposed algorithm is the solution of a real ship hull optimization problem. To this...
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| Veröffentlicht in: | Computational optimization and applications 2018-09, Vol.71 (1), p.53-72 |
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| container_title | Computational optimization and applications |
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| creator | Campana, E. F. Diez, M. Liuzzi, G. Lucidi, S. Pellegrini, R. Piccialli, V. Rinaldi, F. Serani, A. |
| description | The paper is concerned with black-box nonlinear constrained multi-objective optimization problems. Our interest is the definition of a multi-objective deterministic partition-based algorithm. The main target of the proposed algorithm is the solution of a real ship hull optimization problem. To this purpose and in pursuit of an efficient method, we develop an hybrid algorithm by coupling a multi-objective DIRECT-type algorithm with an efficient derivative-free local algorithm. The results obtained on a set of “hard” nonlinear constrained multi-objective test problems show viability of the proposed approach. Results on a hull-form optimization of a high-speed catamaran (sailing in head waves in the North Pacific Ocean) are also presented. In order to consider a real ocean environment, stochastic sea state and speed are taken into account. The problem is formulated as a multi-objective optimization aimed at (i) the reduction of the expected value of the mean total resistance in irregular head waves, at variable speed and (ii) the increase of the ship operability, with respect to a set of motion-related constraints. We show that the hybrid method performs well also on this industrial problem. |
| doi_str_mv | 10.1007/s10589-017-9955-0 |
| format | Article |
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F. ; Diez, M. ; Liuzzi, G. ; Lucidi, S. ; Pellegrini, R. ; Piccialli, V. ; Rinaldi, F. ; Serani, A.</creator><creatorcontrib>Campana, E. F. ; Diez, M. ; Liuzzi, G. ; Lucidi, S. ; Pellegrini, R. ; Piccialli, V. ; Rinaldi, F. ; Serani, A.</creatorcontrib><description>The paper is concerned with black-box nonlinear constrained multi-objective optimization problems. Our interest is the definition of a multi-objective deterministic partition-based algorithm. The main target of the proposed algorithm is the solution of a real ship hull optimization problem. To this purpose and in pursuit of an efficient method, we develop an hybrid algorithm by coupling a multi-objective DIRECT-type algorithm with an efficient derivative-free local algorithm. The results obtained on a set of “hard” nonlinear constrained multi-objective test problems show viability of the proposed approach. Results on a hull-form optimization of a high-speed catamaran (sailing in head waves in the North Pacific Ocean) are also presented. In order to consider a real ocean environment, stochastic sea state and speed are taken into account. The problem is formulated as a multi-objective optimization aimed at (i) the reduction of the expected value of the mean total resistance in irregular head waves, at variable speed and (ii) the increase of the ship operability, with respect to a set of motion-related constraints. We show that the hybrid method performs well also on this industrial problem.</description><identifier>ISSN: 0926-6003</identifier><identifier>EISSN: 1573-2894</identifier><identifier>DOI: 10.1007/s10589-017-9955-0</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Convex and Discrete Geometry ; Management Science ; Mathematics ; Mathematics and Statistics ; Multiple objective analysis ; Operations Research ; Operations Research/Decision Theory ; Optimization ; Sailing ; Ship hulls ; Statistics ; Viability ; Wave resistance</subject><ispartof>Computational optimization and applications, 2018-09, Vol.71 (1), p.53-72</ispartof><rights>Springer Science+Business Media, LLC 2017</rights><rights>Computational Optimization and Applications is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-df87b60f362649f173a90c7f4e95f9da42f0b9ff550c23608bfc5b4df7bb24323</citedby><cites>FETCH-LOGICAL-c316t-df87b60f362649f173a90c7f4e95f9da42f0b9ff550c23608bfc5b4df7bb24323</cites><orcidid>0000-0002-4063-8370</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10589-017-9955-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10589-017-9955-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Campana, E. 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The results obtained on a set of “hard” nonlinear constrained multi-objective test problems show viability of the proposed approach. Results on a hull-form optimization of a high-speed catamaran (sailing in head waves in the North Pacific Ocean) are also presented. In order to consider a real ocean environment, stochastic sea state and speed are taken into account. The problem is formulated as a multi-objective optimization aimed at (i) the reduction of the expected value of the mean total resistance in irregular head waves, at variable speed and (ii) the increase of the ship operability, with respect to a set of motion-related constraints. 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F.</creatorcontrib><creatorcontrib>Diez, M.</creatorcontrib><creatorcontrib>Liuzzi, G.</creatorcontrib><creatorcontrib>Lucidi, S.</creatorcontrib><creatorcontrib>Pellegrini, R.</creatorcontrib><creatorcontrib>Piccialli, V.</creatorcontrib><creatorcontrib>Rinaldi, F.</creatorcontrib><creatorcontrib>Serani, A.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Computational optimization and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Campana, E. F.</au><au>Diez, M.</au><au>Liuzzi, G.</au><au>Lucidi, S.</au><au>Pellegrini, R.</au><au>Piccialli, V.</au><au>Rinaldi, F.</au><au>Serani, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A multi-objective DIRECT algorithm for ship hull optimization</atitle><jtitle>Computational optimization and applications</jtitle><stitle>Comput Optim Appl</stitle><date>2018-09-01</date><risdate>2018</risdate><volume>71</volume><issue>1</issue><spage>53</spage><epage>72</epage><pages>53-72</pages><issn>0926-6003</issn><eissn>1573-2894</eissn><abstract>The paper is concerned with black-box nonlinear constrained multi-objective optimization problems. Our interest is the definition of a multi-objective deterministic partition-based algorithm. The main target of the proposed algorithm is the solution of a real ship hull optimization problem. To this purpose and in pursuit of an efficient method, we develop an hybrid algorithm by coupling a multi-objective DIRECT-type algorithm with an efficient derivative-free local algorithm. The results obtained on a set of “hard” nonlinear constrained multi-objective test problems show viability of the proposed approach. Results on a hull-form optimization of a high-speed catamaran (sailing in head waves in the North Pacific Ocean) are also presented. In order to consider a real ocean environment, stochastic sea state and speed are taken into account. The problem is formulated as a multi-objective optimization aimed at (i) the reduction of the expected value of the mean total resistance in irregular head waves, at variable speed and (ii) the increase of the ship operability, with respect to a set of motion-related constraints. 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| source | SpringerNature Journals; EBSCOhost Business Source Complete |
| subjects | Algorithms Convex and Discrete Geometry Management Science Mathematics Mathematics and Statistics Multiple objective analysis Operations Research Operations Research/Decision Theory Optimization Sailing Ship hulls Statistics Viability Wave resistance |
| title | A multi-objective DIRECT algorithm for ship hull optimization |
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