Green cargo routing using genetic algorithms

Lecture Notes in Engineering and Computer Science

Volumn 2195, Issue , 2012, Pages 170-175

  Siu, Winson S H ^a   Chan, Chi Kong ^a   Chan, Henry C B ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Genetic algorithm; Green logistics; Intermodal cargo routing; Multi objective optimization

Indexed keywords

CARBON DIOXIDE; COMPUTER SCIENCE; ENVIRONMENTAL PROTECTION; GLOBAL WARMING; MULTIOBJECTIVE OPTIMIZATION;

CARBON DIOXIDE EMISSIONS; COST MINIMIZATION; INTERMODAL CARGO ROUTING; MULTI OBJECTIVE; MULTI OBJECTIVE OPTIMIZATIONS (MOO); PARETO OPTIMAL SOLUTIONS; PARETO-OPTIMALITY; PROBLEM INSTANCES; RUNNING TIME; TIME CONSTRAINTS; TRADITIONAL GOALS;

GENETIC ALGORITHMS;

EID: 84867457923     PISSN: 20780958     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. A. Sbihi and R. W. Eglese, Combinatorial optimization and green logistics, 40R: A Quarterly Journal of Operations Research, vol. 5, 2007.
2. R. B. Skeie, J. S. Fuglestvedt, T. Bemtsen, M. T. Lund, G. Myhre, and K. Rypdal. "Global temperature change from the transport sectors: Historical development and future scenarios Atmospheric Environment", Atmospheric Environment, vol. 43, pp. 6260-6270, 2009.
3. C. Macharis and Y. M. Bontekoning, "Opportunities for OR in intermodal freight transport research: A review", European Journal of Operational Research, vol. 153, pp. 400-416, 2004.
4. T. G. Crainic and K. H. Kim, "Intermodal transporation", Handbook in Operations Research and Management Science, C. Bamhart and G. Laporte (Ed.), Elsevier, pp. 468-535, 2007.
5. R. Eglese and D. Black, "Optimizing the routing of vehicles", in Green Logistics: Improving the environmental sustainability of logistics. Kogan Page, London, 2010.
6. J. C. Sousaa, H. A. Biswasa, R. Britob, and A. Silveirab, "A Multi objective approach to solve capacitated vehicle routing problems with time windows using mixed integer linear programming", International Journal of Advanced Science and Technology, vol. 28, 2011.
7. N. Jozefowiez, F. Semet and E-G. Talbi, "Multi-objective vehicle routing problems", European Journal of Operational Research 189, pp. 293-309, 2008.
8. E. Martins, "On a multicriteria shortest path problem", European Journal of Operational Research vol. 16, pp. 236-245, 1984.
9. V. Pareto, Manuale d'economia politico, Milan: Societa editrice libraria, 1906.
10. L. B. Reinhardt, "Multi-objective shortest path for cargo transportation", Master's thesis, University of Copenhagen, Denmark, 2005.
11. L. B. Reinhardt and D. Pisinger, "Multi-objective and multi-constrained non-additive shortest path problems", Computers & Operations Research, vol. 38, 2011.
12. B. Ombuki, B. J. Ross, and F. Hanshar, "Multi-objective genetic algorithms for vehicle routing problem with time windows", Applied Intelligence, vol. 24, 2006.
13. C. Jun, "GA-based path finding for public transport network", in Proc. International Symposium on Spatio-temporal Modeling, Spatial Reasoning, Analysis, Data Mining and Data Fusion, 2005.
14. S. Alam, H. Abbass, and M. Barlow, "Multi-objective ant colony optimization for weather avoidance in a free flight environment", Technical Report, The Artificial Life and Adaptive Robotics Laboratory, School of Information Technology and Electrical Engineering, University of New South Wales, Australia, 2006.
15. J. H. Cho, H. S. Kim, and H. R. Choi, "An intermodal transport network planning algorithm using dynamic programming-A case study from Busan to Rotterdam in intermodal freight routing", Applied Intelligence, Springer Netherlands, pp. 1-13, 2010.
16. T.-S. Chang, "Best routes selection in international intermodal networks", Computers & Operations Research, Elsevier, vol. 35, pp.2877-2891, 2008.
17. L. Moccia, J.-F. Cordeau, G. Laporte, S. Ropke, and M. P. Valentini, "Modeling and solving a multimodal transportation problem with flexible-time and scheduled services", Networks, vol. 57, iss 1. pp. 53-68, 2010.