Ship design optimization in the multimodal logistics framework

Boulougouris, EK; Gohari, C; Papanikolaou, AD

dc.contributor.author	Boulougouris, EK	en
dc.contributor.author	Gohari, C	en
dc.contributor.author	Papanikolaou, AD	en
dc.date.accessioned	2014-03-01T01:55:28Z
dc.date.available	2014-03-01T01:55:28Z
dc.date.issued	2006	en
dc.identifier.issn	10067043	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27744
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-33847614823&partnerID=40&md5=97b9798a3b509cc8f7ee827bde3e6107	en
dc.subject	Genetic algorithms	en
dc.subject	Logistics based ship design	en
dc.subject	Multi-modal transportation	en
dc.subject	Multi-objective optimization	en
dc.subject	Neural networks	en
dc.subject.other	Computer aided design	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Neural networks	en
dc.subject.other	Optimization	en
dc.subject.other	Pattern recognition	en
dc.subject.other	Structural design	en
dc.subject.other	Logistics based ship design	en
dc.subject.other	Multi modal transportation	en
dc.subject.other	Multi objective optimization	en
dc.subject.other	Ships	en
dc.title	Ship design optimization in the multimodal logistics framework	en
heal.type	journalArticle	en
heal.publicationDate	2006	en
heal.abstract	The significance of multimodal transportation systems has worldwide increased significantly over the past two decades. European Union, United States and Japan have increased their efforts in studying the dynamics of multimodal transportation networks. In the paper about recent research work on the optimization problem of the design of ferries and Ro-Ro cargo ships using pattern recognition techniques (Artificial Neural Networks), Multi-objective Genetic Algorithms (MOGA) and the know-how created through the EU FP6 Research Project LOGBASED. A case study on the transportation of agricultural goods from the Greek Island of Crete to the markets of Munich is presented. The results of this study prove useful for the assessment of viable solutions serving in a balanced way for the interests of shipyards, ship operators, cargo owners, banking and financial institutions, investors and government administrations in the framework of optimized transportation scenarios.	en
heal.journalName	Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University	en
dc.identifier.volume	27	en
dc.identifier.issue	SUPPL. 2	en
dc.identifier.spage	150	en
dc.identifier.epage	159	en