Modeling Methodologies for Optimization and Decision Support on Coastal Transport Information System (Co.Tr.I.S.)
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.
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:69740", author = "Vassilios Moussas and Dimos N. Pantazis and Panagiotis Stratakis", title = "Modeling Methodologies for Optimization and Decision Support on Coastal Transport Information System (Co.Tr.I.S.)", 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.", volume = "9", number = "5", pages = "1117-5", }
