Modeling Methodologies for Optimization and Decision Support on Coastal Transport Information System (Co.Tr.I.S.)
Authors: Vassilios Moussas, Dimos N. Pantazis, Panagiotis Stratakis
Abstract:
The aim of this paper is to present the optimization methodology developed in the frame of a Coastal Transport Information System. The system will be used for the effective design of coastal transportation lines and incorporates subsystems that implement models, tools and techniques that may support the design of improved networks. The role of the optimization and decision subsystem is to provide the user with better and optimal scenarios that will best fulfill any constrains, goals or requirements posed. The complexity of the problem and the large number of parameters and objectives involved led to the adoption of an evolutionary method (Genetic Algorithms). The problem model and the subsystem structure are presented in detail, and, its support for simulation is also discussed.
Keywords: Coastal transport, modeling, optimization.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1100663
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2009References:
[1] D.N,.Pantazis, P., Stratakis, A.C., Daverona, E., Gkadolou, E. Lazarou, and E. Babalona, Coastal Transport Integrated System: Spatial Database Schema, Metadata and Data Dictionary, Proceedings of 2nd International Conference On Advances in Computing, Electronics and Electrical Technology - CEET 2014, December 20-21, 2014, Malaysia, pp. 111-115, 2014.
[2] D.N., Pantazis, P., Stratakis, C. Karathanasis, and E. Gkadolou, Design of a Coastal Transport Integrated System: Preliminary System Specifications and Data Collection for the Aegean Sea Is-lands, 13th International Conference, Ho Chi Minh City, Vietnam, June 24-27, 2013, Proceedings, Part IV, Lecture Notes in Computer Science, Volume 7974, pp. 268-283, 2013.
[3] Chainas K. The Optimization Of The Greek Coastal Shipping Transportation Network, Tourismos: An International Multidisciplinary Journal Of Tourism, Volume 7, Number 1, Spring-Summer 2012, pp. 351-366, 2012.
[4] K. Giziakis, J.A. Paravantis, M. Michalochrista and A. Tsapara Optimal Operation Of Passenger Shipping In The Aegean, International Conference “Shipping in the era of Social Responsibility” Argostoli, Cephalonia, Greece, 14-16 September, 2006.
[5] J. Darzentas and T.Spyrou, Ferry Traffic in the Aegean Islands: A Simulation Study, Journal of the Operational Research Society, Vol. 47, No. 2 (Feb., 1996), pp. 203-216, 1996.
[6] M.G., Karlaftis, K. Kepaptsoglou, and E. Sambracos, Containership routing with time deadlines and simultaneous deliveries and pick-ups, Transportation Research, Part E 45(1), pp. 210-221, 2009.
[7] X. Sun, and N. Li, A new immune genetic algorithm for the large scale ship routing problems, presented at the International Conference on Management of Logistics and Supply Chain Chang Sha/Chine, Sydney, Australia, 2006.
[8] O. Polat, H-O Gunther and O. Kulak, The feeder network design problem: Application to container services in the Black Sea region, Macmillan Publishers Ltd. 1479-293, Maritime Economics and Logistics, Vol. 16, 3, pp. 343-369, 2014.
[9] V. Windeck, A Liner Shipping Network Design: Routing and Scheduling Considering Environmental Influences, Wiesbaden, Germany: Produktion und Logistik, Springer Gabler, 2013.
[10] P. Tsilingiris and H. Psaraftis A Multi-Stage Optimization-Based Approach for the Liner Shipping Problem, 3rd International Congress on Transportation Research in Greece, Thessaloniki, Greece, May, 2006.
[11] Khaled Al-Hamad, Mohamed Al-Ibrahim and Eiman Al-Enezy, A. Genetic Algorithm for Ship Routing and Scheduling Problem with Time Window, American Journal of Operations Research, 2012, 2, 417-429, 2012.
[12] S. Dinu, and I. Odagescu, Research on an Optimization Model for Transportation Network Design, (February 12, 2011). Available at SSRN: http://ssrn.com/abstract=1760663 or http://dx.doi.org/10.2139/ssrn.1760663.
[13] K. Fagerholt, Designing optimal routes in a liner shipping problem, Maritime Policy and Management, 31: 4, 259-268, 2004.