Optimal co-evolutionary strategies for the competitive maritime network design problem

Dimitriou, L; Stathopoulos, A

dc.contributor.author	Dimitriou, L	en
dc.contributor.author	Stathopoulos, A	en
dc.date.accessioned	2014-03-01T02:46:17Z
dc.date.available	2014-03-01T02:46:17Z
dc.date.issued	2009	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32638
dc.subject	Co-evolutionary non-cooperative algorithms	en
dc.subject	Competitive network design	en
dc.subject	Freight networks	en
dc.subject	Maritime container terminal systems	en
dc.subject.other	Co-evolutionary	en
dc.subject.other	Co-evolutionary non-cooperative algorithms	en
dc.subject.other	Competitive network design	en
dc.subject.other	Equilibrium point	en
dc.subject.other	Evolutionary games	en
dc.subject.other	Freight movement	en
dc.subject.other	Freight networks	en
dc.subject.other	Genetic operators	en
dc.subject.other	Hybrid genetic algorithms	en
dc.subject.other	Infrastructure investment	en
dc.subject.other	Inter-dependencies	en
dc.subject.other	Maritime container terminal systems	en
dc.subject.other	Network design problems	en
dc.subject.other	Noncooperative game	en
dc.subject.other	Optimal decisions	en
dc.subject.other	Port authorities	en
dc.subject.other	Stackelberg Games	en
dc.subject.other	Terminal facilities	en
dc.subject.other	Transportation network	en
dc.subject.other	Computer science	en
dc.subject.other	Design	en
dc.subject.other	Game theory	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Investments	en
dc.subject.other	Port terminals	en
dc.subject.other	Railroad yards and terminals	en
dc.subject.other	Freight transportation	en
dc.title	Optimal co-evolutionary strategies for the competitive maritime network design problem	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-01129-0_92	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-01129-0_92	en
heal.publicationDate	2009	en
heal.abstract	The current paper is focusing into the less well-defined transportation networks as those that are formed by the integration (combination) of alternative transportation means for servicing freight movements and the special inter-dependencies that are developed by this integration. Here the market of maritime facilities is modelled as an n-person non-cooperative game among port authorities who control the attractiveness of their terminal facilities. By taking the above interdependencies into consideration, optimal decisions of port authorities are obtained by extending the classical single leader-multiple followers Stackelberg game-theoretic formulation of the Network Design Problem (NDP) to its complete form of multiple leaders-multiple followers Competitive NDP (CNDP). The estimation of the equilibrium point of the above formulation is made by incorporating a novel evolutionary game-theoretic genetic operator into a hybrid Genetic Algorithm. The results from the application of the proposed framework into a realistic part of the East Mediterranean freight network show the potential of the method to support decisions of port authorities concerning future infrastructure investments. ©Springer-Verlag Berlin Heidelberg 2009.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-01129-0_92	en
dc.identifier.volume	5484 LNCS	en
dc.identifier.spage	818	en
dc.identifier.epage	827	en