Agent-based evolutionary game-theoretic framework for optimizing investment plans of competitive port facilities

Dimitriou, L; Stathopoulos, A

dc.contributor.author	Dimitriou, L	en
dc.contributor.author	Stathopoulos, A	en
dc.date.accessioned	2014-03-01T02:51:56Z
dc.date.available	2014-03-01T02:51:56Z
dc.date.issued	2009	en
dc.identifier.issn	14746670	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35762
dc.subject	Competitive network design	en
dc.subject	Evolutionary algorithms	en
dc.subject	Freight systems	en
dc.subject	Parallel computing	en
dc.subject.other	Agent based	en
dc.subject.other	Competitive markets	en
dc.subject.other	Competitive network	en
dc.subject.other	Equilibrium point	en
dc.subject.other	Evolutionary optimization algorithm	en
dc.subject.other	Freight systems	en
dc.subject.other	Investment plan	en
dc.subject.other	Network design problems	en
dc.subject.other	Noncooperative game	en
dc.subject.other	Port authorities	en
dc.subject.other	Port facilities	en
dc.subject.other	Programming problem	en
dc.subject.other	Stackelberg	en
dc.subject.other	Terminal facilities	en
dc.subject.other	Transportation services	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Evolutionary algorithms	en
dc.subject.other	Game theory	en
dc.subject.other	Intelligent agents	en
dc.subject.other	Investments	en
dc.subject.other	Optimization	en
dc.subject.other	Parallel architectures	en
dc.subject.other	Profitability	en
dc.subject.other	Freight transportation	en
dc.title	Agent-based evolutionary game-theoretic framework for optimizing investment plans of competitive port facilities	en
heal.type	conferenceItem	en
heal.identifier.primary	10.3182/20090902-3-US-2007.0031	en
heal.identifier.secondary	http://dx.doi.org/10.3182/20090902-3-US-2007.0031	en
heal.publicationDate	2009	en
heal.abstract	The current paper deals with a special case of the Network Design Problem (NDP) that arises when multiple authorities are controlling certain parts of a network and in particular when these are engaged into a deliberative environment, forming a competitive market for transportation services. This alteration departs significantly from the classical paradigm of the NDP extending the classical single leader-multiple followers Stackelberg game-theoretic formulation to its complete form of multiple leadersmultiple followers Competitive NDP (CNDP). In order to address the particular problem setup, a multilevel vector-optimization programming problem is formulated, which is tackled by a proposed novel Artificial Intelligence (AI)-based decentralized evolutionary optimization algorithm. The application of this framework is done over a freight network that is composed of multiple transportation means, and in particular over a complete transportation chain formed by shippers, maritime and land carriers and port authorities, where the latter are competing for profits. The market of maritime facilities is modeled as an nperson non-cooperative game among port authorities who control the attractiveness of their terminal facilities. By taking the above interdependencies into consideration, the estimation of the equilibrium point of the above formulation is made by creating a game-theoretic platform where Intelligent Agents (corresponding to port authorities) are evolving their strategies towards equilibrium points. Results from the application of the proposed framework into a realistic part of the East Mediterranean freight network are provided and discussed. © 2009 IFAC.	en
heal.journalName	IFAC Proceedings Volumes (IFAC-PapersOnline)	en
dc.identifier.doi	10.3182/20090902-3-US-2007.0031	en
dc.identifier.spage	38	en
dc.identifier.epage	45	en