Summary
Many network routing problems, particularly where the transportation of hazardous materials is involved, are multiobjective in nature; that is, it is desired to optimise not only physical path length but other features as well. Several such problems are defined here and a general framework for multiobjective routing problems is proposed. The notion of “efficient solution” is defined and it is demonstrated, by means of an example, that a problem may have very many solutions which are efficient. Next, potentially useful solution methods for multiobjective routing problems are discussed with emphasis being placed on the use of shortest/k-shortest path techniques. Finally, some directions for possible further research are indicated.
Similar content being viewed by others
References
Azevedo, J.A., M.E.O.S. Costa, J.J.E.R.S. Madeira and E.Q.V. Martins (1993). An algorithm for the ranking of shortest paths.EJOR,69, 97–106.
Azevedo, J.A., J.J.E.R.S. Madeira and E.Q.V. Martins (1994). A computational improvement of an algorithm for shortest path ranking. EJOR,73, 188–191.
Boffey, T.B. (1992).Distributed Computing: associated combinatorial problems. Blackwell-Scientific, Oxford.
Boffey, T.B. and J. Karkazis (1993). Model and methods for location and routing decisions relating to hazardous materials.Studies in Locational Analysis.5, 149–166.
Brumbaugh-Smith, J. and D. Shier (1989). An empirical investigation of some bicriterion shortest path problems.EJOR,43, 216–234.
Chen, Y.L. (1990). An algorithm for finding thek quickest paths in a network.Opns. Res.,20, 59–65.
Chen, Y.L. (1994). The hybrid spanning three problem.EJOR,77, 179–188.
Chen, Y.L. and Y.H. Chin (1990). The quickest path problem.Comput. Opns. Res.,17, 153–161.
Chin, S.-M. and P.D.-M. Cheng (1989). Bicriterion routing scheme for nuclear spent fuel transportation.Trans. Res. Rec.,1245, 60–64.
Climaco, J.C.N. and E.Q.V. Martins (1982): A bicriterion path problem.EJOR,11, 399–404.
Cohon, J.L. (1978).Multiobjective Programming and Planning. Academic Press, New York.
Corley H.W. and I.D. Moon (1985). Shortest paths in networks with vector weights.J. Optimization Theory & Applications,46, 79–86.
Cox, R. and M. Turquist (1986). Scheduling truck shipments of hazardous materials in the presence of curfews.Trans Res. Rec.,1063, 21–26.
Current, J.R., C.S. ReVelle and J.L. Cohon (1985). The maximum covering/shortest path problem: a multiobjective network design and routing formulation.EJOR,21, 189–199.
Current, J.R., C.S. ReVelle and J.L. Colon (1986). The hierarchical network design problem.EJOR,27, 57–66.
Current, J.R., C.S. ReVelle and J.L. Cohon (1987). The median shortest path problem: a multiobjective approach to analyze cost vs. accessibility in the design of transportation networks.Trans. Sci.,21, 188–197.
Current, J.R., C.S. ReVelle and J.L. Cohon (1990). An interactive approach to identify the best compromise solution for two objective shortest path problems.Comput. Opns. Res.,17, 187–198.
Current, J.R. and D.A. Schilling (1989). The covering salesman problem.Trans. Sci.,23, 208–213.
Current, J.R. and D.A. Schilling (1994). The median tour and maximal covering tour problems: formulations and heuristics.EJOR,73, 114–126.
Denardo, E.V. and B.L. Fox (1979). Shortest route methods: 1. Reaching, pruning and buckets.Opns. Res. 27, 161–186.
Dial, R., F. Glover, D. Karney and D. Klingman (1974). A computational analysis of alternative algorithms and labelling techniques for finding shortest path trees.Networks,9, 215–248.
Dijkstra, E.W. (1959). A note on two problems in connection with graphs.Num. Maths.,1, 269–271.
Erkut, E. and V. Verter (1995). Hazardous materials logistics: a review. In Z Drezner,Facility Location: models and methods, Springer-Verlag.
Gendreau, M., G. Laporte and F. Semet (1996). The covering tour problem.Opns. Res. To appear.
Geoffrion, A.L. (1974). Lagrangean relaxation.Math. Programming Study,2, 82–114.
Gopalan, R., K.S. Kolluri, R. Batta and M.H. Karwan (1990). Modeling equity of risk in the transportation of hazardous materials.Opns. Res.,38, 961–973.
Hamacher, H.W. and G. Ruhe (1994). On spanning tree problems with multiple objectives.Annals of OR,52, 209–230.
Handler, G.Y. and I. Zang (1980). A dual algorithm for the constrained shrotest path problem.Networks,10, 293–310.
Hansen, P. (1990), “Bicriterion path problems.” in G. Fandel and T. Gal (eds.),Multiple Criteria Decision Making: Theory and Application.Lecture Notes in Economics and Mathematical Systems 177, Springer-Verlag, Berlin, 109–127.
Hart, P., N. Nilsson and B. Raphael (1968). A formal basic for the heuristic determination of minimal cost paths.IEEE Trans. Syst. Man. Cybernet.,4, 100–107.
Henig, I.H. (1985). The shortest path problem with two objective functions.EJOR,25, 281–291.
Horne, G.J. (1980). Finding thek least cost paths in an acyclic activity network.J. Opl Res. Soc.,31, 443–448.
Katoh, N., T. Ibaraki and H. Mine (1982). An efficient algorithm fork shortest simple paths.Networks,12, 411–427.
Laporte, G. and S. Martello (1990). The selective traveling salesman problem.Discrete Applied Mathematics.26, 193–207.
LeBlanc, L.J., E.K. Morlok and W.P. Pierskalla (1975). An efficient approach to solving the road network equilibrium problem.Trans. Res.,9, 309–318.
Lindner-Dutton, L., R. Batta and M.H. Karwan (1991). Equitable sequencing of a given set of hazardous materials shipments.Trans. Sci.,25, 124–137.
Malandraki, C. and M.S. Daskin (1993). The maximum benefit Chinese postman problem and the maximum benefit traveling salesman problem.EJOR,65, 218–234.
Marsh, M.T. and D.A. Schilling (1994). Equity measurement in facility location analysis: a review and framework.EJOR,74, 1–17.
Martins, E.Q.V. (1982). On a multicriteria path problem.EJOR,16, 236–245.
Martins, E.Q.V. (1984). An algorithm for ranking paths that may contain cycles.EJOR,18, 123–130.
Mesa, J.A. and T.B. Boffey (1996). Location of extensive facilities in networks.EJOR. To appear.
Miaou, S.-P. and S.-M. Chin (1991). Computingk-shortest path for nuclear spent fuel highway transportation.EJOR,53, 64–80.
Mote, J., I. Murthy and D.L. Olson (1991). A parametric approach to solving bicriterion shortest path problems.EJOR,53, 81–92.
Murthy, I. and D.L. Olson (1994). An interactive procedure using domination cones for bicriterion shortest path problems.EJOR,72, 417–431.
Nemhauser, G.L. (1972). A generalized permanent label setting algorithm for the shortest path between specified nodes.J. Math. Analysis & Applic.,38, 328–334.
Ochi, L.S., E.M. dos Santos, A.A. Montenegro and N. Maculan (1995). Artificial genetic algorithms for the Travelling Purchaser Problem.Proceedings of the Metaheuristics International Conference, Breckenridge, Colorado, Kluwer, Norwell, Mass.
Peeters, P.H.M.. (1992). Kortste pad probleem in netwerken met bijkomende restricties. Masters thesis, Vrije Universiteit, Brussels.
Perko, A. (1983). A representation of disjoint sets with fast initialization.Information Processing Lett.,16, 21.
Perko, A. (1986). Implementation of algorithms fork shortest loopless paths.Networks,16, 149–160.
ReVelle, C.S., J. Cohon and D. Shobrys (1991). Simultaneous siting and routing in the disposal of hazardous wastes.Trans. Sci.,25, 138–145.
Rosen, J.B., S.-Z. Sun and G.-L. Xue (1991). Algorithms for the quickest path problem and the enumeration of quickest paths.Comput. Opns. Res.,18, 579–584.
Skiscim, C.C. and B.L. Golden (1989). Solvingk-shortest and constrained shortest path problems efficiently.Annals of O.R.,20, 249–282.
Stowers, C.L. and U.S. Palekar (1993). Location models with routing considerations for a single obnoxious facility.Trans. Sci.,27, 350–362.
Tung, C.T. and K.L. Chew (1988). A bicriterion Pareto-optimal path algorithm.APJOR,5, 166–172.
Tung, C.T. and K.L. Chew (1992). A multicriteria Pareto-optimal path algorithm.EJOR,62, 203–209.
Vincke, Ph. (1974). Problème multicritères.Cahiers du Centre d'Études de Recherche Opérationelle,16, 425–439.
Warburton, A. (1987). Approximation of Pareto optima in multi-objective, shortest path problems.Opns. Res.,35, 70–79.
Wyman, M.M. and M. Kuby (1996). Proactive optimization of waste transportation, location and technology. To appear inLocation Science,3.
Yates, D.F. (1995). Private communication.
Yen, J.Y. (1971). Finding thek-shortest, loopless paths in a network.Mgmt. Sci.,17, 712–715.
References
Carrizosa, E., E. Conde, F.R. Fernández and J. Puerto (1995).Multicriteria analysis with partial information about the weighting coefficients. EJOR,81, 291–301.
Henig, M.I. (1994).Efficient interactive metods for a class of mutiattribute shortest path problems. Management Science,40, 891–897.
Ulungu, E.U. and J. Teghem (1994).Multiobjective combinatorial optimization problems: A survey. Journal of multi-Criteria Decision Analysis,3, 83–104.
References
Ahuja, R.K., T.L. Magnati, J.B. Orlin and M.R. Reddy (1995). Applications of Network Optimization. InNetwork Models, Handbooks in Operations Research and Management Science (G.L. Nemhauser and A.H.G. Rinnooy Kan, eds.), Elsevier, Amsterdam, 1–83.
Assad, A.A. (1988). Modeling and Implementation Issues in Vehicle Routing. InVehicle Routing: Methods and Studies (B.L. Golden and A.A. Assad, eds.), North-Holland, Amsterdam, 7–45.
Boffey, T.B. (1995). Multiobjective Routing Problems,TOP. This issue.
Brans, J.P., P. Vincke and B. Mareschal (1986). How to Select and How to Rank Projects: The PROMETHEE Method.European Journal of Operational Research,24, 228–238.
Clarke, G. and J.W. Wright (1964). Scheduling of Vehicles from a Central Depot to a Number of Delivery Points.Operations Research 12, 568–581.
Crainic, T.G., M. Florian, J. Guélat and H. Spiess (1990). Planning of Freight Transportation: STAN, An Interactive Graphic System,Transportation Research Record,1283, 97–124.
Crainic, T.G., M. florian and D. Larin (1994). STAN: New Developments, Proceedings of the 23nd Annual Meeting of the Western Decision, Sciences Institute (A.S. Khade and R. Brown, eds.), Maui, Hawaii, 493–498.
Crainic, T.G., M. Gendreau, G. Laporte and C. Lardinois (1995). Parallel Computing: New Opportunities for Transportation Research.Scientia Iranica. Forthcoming.
Dufourd, H., M. Gendreau and G. Laporte (1995). Locating a Transit Line Using Tabu Search.Location Science. Forthcoming.
Eiselt, H.A. and G. Laporte (1987). Combinatorial Optimization Problems with Soft and hard Requirements.Journal of the Operational Research Society 38, 785–795.
Gendreau, M., A. Hertz and G. Laporte (1992). New Insertion and Postoptimization Procedures for the Traveling Salesman Problem.Operations Research 40, 1086–1094.
Gendreau, M., A. Hertz and G. Laporte (1994). A Tabu Search Heuristic for the Vehicle Routing Problem.Management Science 40, 1276–1290.
Gendreau, M., G. Laporte and J.A. Mesa (1995). Locating Rapid Transit Lines.Journal of Advanced Transportation 29, 145–162.
Gillett, B.E. and L.R. Miller (1974). A Heuristic Algorithm for the Vehicle Dispatch Problem.Operations Research 22, 340–349.
Gomes, L. (1989). Multicriteria Ranking of Urban Transportation System Alternatives.Journal of Advanced Transportation 23, 43–52.
Hodgson, M.J., G. Laporte and F. Semet (1995). A Covering Tour for the Planning of Mobile Health Care Facilities in Suhum District, Ghana. Publication #95-52, Centre for research on transportation, Montreal.
INRO Consultants Inc. (1994). EMME/2 User's Manual, Release 7.0.
INRO Consultants Inc. (1995) STAN User's Manual, Release 4.0.
Labbé, M. and G. Laporte (1986). Maximizing User Convenience and Postal Service Efficiency in Post Box Location.Belgian Journal of Operations Research, Statistics and Computer Science 26, 21–35.
Lin, S. (1965). Computer Solutions of the Traveling Salesman Problem.Bell System Technical Journal 44, 2245–2269.
Magnanti, T.L. and R.T. Wong (1984). Network Design and Transportation Planning: Models and Algorithms.Transportation Science 18, 1–55.
March, J.G. (1978). Bounded Rationality, Ambiguity and the Engineering of Choice.The Bell Journal of Economics 9, 587–608.
Oppong, J.R. and M.J. Hodgson (1994). Spatial Accessibility of Health Care Facilities in Suhum District, Ghana.Professional Geographer 46, 199–209.
Or, I. (1976). Traveling Salesman-Type Combinatorial Problems and their Relation to the Logistics of Blood Banking. Ph. D. thesis, Northwestern University, Evanston, III.
Reeves, C.R., ed. (1993).Modern Heuristic Techniques for Combinatorial Problems, Blackwell, Oxford.
Rochat and É.D. Taillard (1995). Probabilistic Diversification and Intensification in Local Search for Vehicle Routing.Journal of Heuristics,1, 147–167.
Roy, J. and L. Delorme (1989). NETPLAN: A Network Optimization Model for Tactical Planning on the Less-then-Truckload Motor Carrier Industry.INFOR,27, 22–35.
Vincke, P. (1992).The Multicriteria Decision Aid, Wiley, Chichester.
Weick, K.E. (1979).The Social Psychology of Organizing, Addison-Wesley, Reading, Mass.
References
Ahmad, A., Thesis Dissertation. Rensselaer Polytechnic Institute, Troy, New York,A procedure for deriving a small portfolio of nondominated routes from a stochastic multiobjective network.
Current, J. and M. Marsh (1993).Multiobjective transportation, network design and routing problems: taxonomy and annotation. EJOR65, 4–19.
List, G.P., P.B. Mirchandani, M.A. Turnquist and K.G. Zografos (1991).Modeling and analysis for hazardous materials transportation: risk, analysis, routing/scheduling and facility location, Trans. Sci.25, 100–114.
Sivakumar, R.A. and R., Batta (1994).The variance-constrained shortest path problem. Trans. Sci.28, 309–316.
Steenbrink, P. (1974).Optimization of transportation networks, Wiley.
Wijeratne, A.B., M.A. Turnquist and P.B. Mirchandani (1993).Multiobjective routing of hazardous materials in stochastic networks, EJOR65, 33–43.
References
Beasley, J.E. and N. Christofides (1989). An algorithm for the resource constrained shortest path problem.Networks 19, 379–394.
Berman, O. and G.Y. Handler (1987). Optimal minimax path of a single service unit on a network to nonservice destinations.Transportation Science 21, 115–122.
Bryson, N. (1993). A parametric programming methodology to solve the Lagrangian dual for network problems with multiple side-constraints.Computers Operations Research 20, 541–552.
Chang, H.J. (1985). A minimax-arc-path problem.Tamkang J. of Management Science,4, 7–12.
Chen, Y.L. (1992). An algorithm for findingk-quickest paths in a network.Computers Operations Research 20, 59–65.
Current, J., H. Pirkul and E. Rolland (1994). Efficient algorithms for solving the shortest covering path problem.Transportation Science 28, 317–327
Deo, N. and C. Pang (1984). Shortest path algorithms. Taxonomy and annotation.Networks 14, 275–323.
Fisher, M.L. (1981). The lagrangian relaxation methods for solving integer programming problems.Management Science 27, 1–18.
Gallo, G. and S. Pallotino (1988). Shortest path algorithms.Annals of Operations Research 13, 3–79.
Hassin, R. (1992). Approximation schemes for the restricted shortest path problem.Mathematics of Operations Research 17, 36–42.
Gopalan, R., R. Batta and M.H. Karwan (1990). The equity constrained shortest path problem.Computers Operations Research 17, 297–307.
Guignard, M. and M.B. Rosenwein (1989). An application oriented guide for designing lagrangian dual ascent algorithms.EJOR 43, 197–205.
Ignizio, J.P. (1976). Goal programming and extensions.Lexington Books.
Murthy, I. and S.S. Her (1992). Solving mini-max shortest path problems on a network.Naval Research Logistics 39, 669–683.
Pelegrín, B. and P. Fernández (1995). Un algoritmo para la obtención de caminos sum-max eficientes.XXII Congreso Nacional de Estadística e I.O. Sevilla. Spain.
Romero, C. (1991). Handbook of critical issues in goal programming.Pergamon Press.
Sivakumar, R.A., R. Batta and M.H. Karwan (1993). A network-based model for transporting extremely hazardous materials.Operations Research Letters 13, 85–93.
Whitehouse, G.E. (1973). Systems analysis and design using network techniques.Prentice Hall.
Author information
Authors and Affiliations
Additional information
Invited by B. Pelegrin
Rights and permissions
About this article
Cite this article
Boffey, B., García, F.R.F., Laporte, G. et al. Multiobjective routing problems. Top 3, 167–220 (1995). https://doi.org/10.1007/BF02568585
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF02568585