Skip to main content

On Efficient Sets in Vector Maximum Problems — A Brief Survey

  • Conference paper
Essays and Surveys on Multiple Criteria Decision Making

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 209))

Abstract

The notion of efficient (nondominated, noninferior. Pareto-optimal, functional efficient) set to a Vectormaximum Problem (VMP) has been analysed and developed in several directions during the last 30 years. Starting with the basic notion of efficiency given by Pareto [1896], formal descriptions of the efficient, properly efficient, locally (proper-) efficient, weak or strong efficient set have been developed beginning in the 50th of this century. Based on these notions various characteristics and properties of the efficient set have been studied, whereas the feasible set X and the functions zk(x), k = 1,.., K, constituting the vector-valued criterion z(x) of VMP have various properties (e.g., convexity of X, concavity of zk(x) for all k, differentiability etc.). Based on such properties, the structure of the efficient set and the existence of efficient solutions have been analysed. A part of the corresponding publications are rather of a pure theoretical character, others try to develope theories serving as the basis for working out methods for determining the efficient set or for interactive methods determining some compromise solutions. Duality theories for more or less general cases have been developed and various aspects of stability of VMP have been investigated. A brief survey is given.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • A. ACHILLES, K.-H. ELSTER and R. NEHSE, “Bibliographie zur Vektor-optimierung (Theorie und Anwendungen)”.Mathem. Operationsforschung und Statistik 10 (1979) 277–321.

    Article  Google Scholar 

  • I. P. ANEJA and K. P. K. NAIR, “Bicriteria Transportation Problem” Managern. Sci. 25 (1979) 73–78.

    Google Scholar 

  • F. A. BEHRINGER, “Lexicographic Quasiconcave Multiobjective Programming”. Zeitschrift für Operations Research 21 (1977) 103–116.

    Article  Google Scholar 

  • A. BEN-ISRAEL, A. BEN-TAL and S. ZLOBEC, “Optimality Conditions in Convex Programming”. In: Survey of Mathematical Programming (A. PREKOPA, ed. ), Hungarian Academy of Science and North Holland (1979).

    Google Scholar 

  • A. BEN-ISRAEL, A. BEN-TAL and A. CHARNES, “Necessary and Sufficient Conditions for a Pareto-Optimum in Convex Programming”. Econometrica 45 (1977) 811–820.

    Article  Google Scholar 

  • H. P. BENSON, “Existence of Efficient Solutions for \Tectormaximum problems”. JOTA 26 (1978) 569–580.

    Article  Google Scholar 

  • H. P. BENSON, “An Improved Definition of Proper Efficiency for Vector Maximization with Respect to Cones”. J. of Math. Analysis and Appl. 71 (1979), 232–241.

    Article  Google Scholar 

  • H. P. BENSON and T. L. MORIN, “The Vector Maximization Problem: Proper Efficiency and Stability”. SIAM J. on Applied Mathematics 32 (1977) 64–72.

    Article  Google Scholar 

  • A. BEN-Tal, A. BEN-ISRAEL and S. ZLOBEC, “Characterization of Optimality in Convex Programming without Constraint Qualification”. JOTA 20 (1976) 417–437.

    Article  Google Scholar 

  • A. BEN-TAL, “Characterization of Pareto and Lexicographic Optimal Solutions”. In: Multiple Criteria Decision Making: Theory and Application ( G. FANDEL and T. GAL, eds.), Springer, New York (1980), 1–11.

    Google Scholar 

  • A. BEN-TAL and S. ZLOBEC, “Convex Programming and the Lexicographic Multicriteria Problem”. Mathem. Operationsforschung und Statistik, Series Optimization 8 (1977) 61–73.

    Article  Google Scholar 

  • M. BENVENISTE, “Testing for Complete Efficiency in a Vector Maximum Problem”. Mathem. Progr. 12 (1977) 285–288.

    Article  Google Scholar 

  • K. BERGSTRESSER and P. L. YU, “Domination Structures and Multicriteria Problems in n-Person Games”. Theory and Decision 8 (1977) 5–48.

    Article  Google Scholar 

  • G. R. BITRAN, “Linear Multiple Objective Programs with Zero-One Variables”. Mathem. Progr. 13 (1977) 121–139.

    Article  Google Scholar 

  • G. R. BITRAN, “Duality for Nonlinear Multiple Criteria Optimization Problems”. Techn. Rep. No 155, Massachussets Inst. of Technology, (September 1978); JOTA 35 (1981) 367–401.

    Google Scholar 

  • G. R. BITRAN and T. L. MAGNANTI, The Structure of Admissible Points with Respect to Cone Dominance“. JOTA 29 (1979) 573–614.

    Google Scholar 

  • G. R. BITRAN and T. L. MAGNANTI, “Duality Based Characterizations of Efficient Facets”. In: Multiple Criteria Decision Making: Theory and Application ( G. FANDEL and T. GAL, eds.), Springer, New York (1980) 12–25.

    Google Scholar 

  • P. BOD, “Lineâris Programozâs töBB, Egyidejüleg Adott Célfüggvény Szerint”. Publ. of The Math. Inst. of the Hungarian Academy of Sciences, Ser. B, 8 (1963) 541–544.

    Google Scholar 

  • J. M. BORWEIN, “Proper Efficient Points for Maximizations with Respect to Cones.” SIAM J. Control Optimization 15 (1977) 57–63.

    Article  Google Scholar 

  • J. M. BORWEIN, The Geometry of Pareto Efficiency over Cones“. Math. Operationsforschung und Statistik, Ser. Optimization 11 (1980) 235–248.

    Article  Google Scholar 

  • P. BRUCKER, “Diskrete parametrische Optimierungsprobleme und wesentlich effiziente Punkte”. Zeitschrift für Operations Research 16 (1972) 189–197.

    Google Scholar 

  • A. CHARNES and W. W. COOPER, “Management Models and Industrial Applications of Linear Programming”. Managem. Sci. 4 (1957) 81–87.

    Google Scholar 

  • A. CHARNES and W. W. COOPER, “Management Models and Industrial Applications of Linear Programming I”. Appendix B: Basic Existence Theorems and Goal Programming. Wiley, New York (1961) 299–310.

    Google Scholar 

  • A. CHARNES and W. W. COOPER, “Goal Programming and Multiple Objective Optimization. Part 1”. European J. for Operational Research 1 (1977) 39–54.

    Article  Google Scholar 

  • J. L. COHON and D. H. MARKS, “A Review and Evaluation of Multiobjective Programming Techniques”. Water Resources Research 11 (1975) 208–220.

    Article  Google Scholar 

  • J. L. COCHRANE and M. ZELENY (eds.), “Multiple Criteria Decision Making”. University of South Carolina Press, Columbia (1973).

    Google Scholar 

  • H. W. CORLEY, “A New Scalar Equivalence for Pareto Optimization”, JEEE Transactions on Automatic Control 25 (1980) 829–830.

    Article  Google Scholar 

  • H. G. DAELLENBACH and C. A. de KLUYVER. A. de KLUYVER, “Note on Multiple Objective Dynamic Programming”. J. of Opl. Res. Soc. 31 (1980) 591–594.

    Google Scholar 

  • G. DEBREU, “Representation of a Preference Ordering by a Numerical Function”. Decision Processes (R. M. THRALL, C. H. COOMBS and R. L. DAVIS, eds.), Wiley, New York (1954) 159–166.

    Google Scholar 

  • G. DEBREU, “Theory of Value”. Wiley, New York (1959).

    Google Scholar 

  • J. H. DIAZ, “Finding a Complete Description of all Efficient Solutions to a Multiobjective Transportation Problem”. Ekonomicko-Matematickÿ Obzor 15 (1979) 62–73.

    Google Scholar 

  • F. di GUGLIELMO, “Nonconvex Duality in Multiobjective Optimization”. Mathematics of Operations Research 2 (1977) 285–291.

    Article  Google Scholar 

  • W. DINKELBACH, “Sensitivitätsanalysen und parametrische Programmierung”. Springer, Berlin, New York (1969).

    Google Scholar 

  • W. DINKELBACH, “Über einen Lösungsansatz zum Vektormaximum-Problem”. In: Lecture Notes in OR and Math. Syst. 50 (1971) 1–13.

    Google Scholar 

  • A. J. DUBOVITSKIJ and A. A. MILJUTIN, “Extremum Problems in the Presence of Restrictions”. Zh. Vychisl. Mat. Fiz. 5 (1969) 395–453 (USSR Comp. Math. and Math. Phys. 5 (1965) 1–80 ).

    Google Scholar 

  • W. DÜRR, “Stochastische Programmierungsmodelle als Vektormaximumprobleme”. In: Proceedings in Operations Research, Physica-Verlag, Würzburg-Wien (1972) 189–199.

    Google Scholar 

  • R. T. ECKENRODE, “Weighting Multiple Criteria”. Managem. Sci. 12 (1965) 180–192.

    Google Scholar 

  • J. G. ECKER, N. S. HEGNER and I. A. KOUADA, “Generating all Maximal Efficient Faces for Multiple Objective Linear Programs”. JOTA 30 (1980) 353–381.

    Article  Google Scholar 

  • J. G. ECKER and I. A. KOUADA, “Finding Efficient Points for Linear Multiple Objective Programs.” Math. Progr. 8 (1975) 375–377.

    Article  Google Scholar 

  • J. G. ECKER and I. A. KOUADA, “Finding all Efficient Extreme Points for Multiple Objective Linear Programs”. Math. Progr. 14 (1978) 249–261.

    Article  Google Scholar 

  • J. P. EVANS and R. E. STEUER, “A Revised Simplex Method for Linear Multiple Objective Programs”. Math. Progr. 5 (1973) 375–377.

    Article  Google Scholar 

  • G. FANDEL, “Lösungsprinzipien und Lösungsalgorithmen zum Vektormaximumproblem bei Sicherheit und Unsicherheit”. Zs. für Betriebswirtsch. (1975) 371–392.

    Google Scholar 

  • G. FANDEL, “Perspectives of the Development in Multiple Criteria Decision Making”. In: Multiple Criteria Decision Making: Theory and Applications (G. FANDEL and T. GAL, eds.), Springer, New York (1980) IX - XVI.

    Google Scholar 

  • G. FANDEL and T. GAL (eds.), “Multiple Criteria Decision Making: Theory and Application”. Springer, New York (1980).

    Google Scholar 

  • G. FANDEL and J. WILHELM, “Zur Entscheidungstheorie bei mehrfacher Zielsetzung”. Zeitschrift für OR 20 (1976) 1–21.

    Google Scholar 

  • P. C. FISHBURN, “A Survey of Multiattribute/Multicriterion Evaluation Theories”. In: Multiple Criteria Problem Solving (S. ZIONTS, ed. ), Springer New York (1978) 181–224.

    Google Scholar 

  • J. FOCKE, “Vektormaximumproblem und parametrische Optimierung”. Math. Operationsforschung und Statistik 4 (1973) 365–369.

    Article  Google Scholar 

  • R. M. FREIMER and P. L. YU. YU, “An Approach Towards Decision Problems with Multiobjectives”.Res. Rep. No CSS 72–03, University of Rochester, New York (June 1972).

    Google Scholar 

  • T. GAL, “A General Method for Determining the Set of all Efficient Solutions to a Linear Vectormaximum Problem”. European J. for Operational Research 1 (1977) 307–322.

    Article  Google Scholar 

  • T. GAL, “Postoptimal Analyses, Parametric Programming and Related Topics”, McGraw Hill, New York (1979).

    Google Scholar 

  • T. GAL, “A Note on Size Reduction of the Objective Functions Matrix in Vectormaximum Problems”. In: Multiple Criteria Decision Making: Theory and Application ( G. FANDEL and T. GAL, eds.), Springer, N. Y. (1980) 74–84.

    Google Scholar 

  • T. GAL, “Postefficient Sensitivity Analysis in Linear Vectormaximum Problems”. In: Multiple Criteria Analysis ( P. NIJKAMP and J. SPRONK, eds.), Gower Publ. Co., Aldershot, Hampshire England (1981) 259–270.

    Google Scholar 

  • T. GAL and H. LEBERLING, “Relaxation Analysis in Linear Vectorvalued Maximization”. Working Paper No 76/15, University of Aachen 1976, EJOR 8 (1981) 274–282.

    Google Scholar 

  • T. GAL and H. LEBERLING, “Redundant Objective Functions in Linear Vectormaximum Problems and Their Determination”. European J. for Operations Research 1 (1977) 176–184.

    Article  Google Scholar 

  • D. GALE, H. W. KUHN and A. W. TUCKER, “Linear Programming and the Theory of Games”. In: Activity Analysis of Production and Allocation ( T. C. KOOPMANS, ed.), Wiley, N.Y. (1951).

    Google Scholar 

  • J. H. van GELDROP. H. van GELDROP, “A Note on Local Pareto Optima”. J. of Math. Economics 7 (1980) 51–54.

    Article  Google Scholar 

  • A. M. GEOFFRION, “Solving Bicriterion Mathematical Programs”. Oper. Res. 15 (1967a) 38–54.

    Article  Google Scholar 

  • A. M. GEOFFRION, “Strictly Concave Parametric Programming I”. Managem. Sci. 13 (1967b) 244–253

    Google Scholar 

  • A. M. GEOFFRION, “Strictly Concave Parametric Programming II”. Managem. Sci. 13 (1967c) 359–370.

    Google Scholar 

  • A. M. GEOFFRION, “Proper Efficiency and The Theory of Vectormaximization”. J. of Math. Anal. and Appl. 22 (1968) 618–630.

    Article  Google Scholar 

  • A. M. GEOFFRION, J. S. DYER and A. FEINBERG, “An Interactive Approach for Multi-Criterion Optimization, with an Application to the Operation of an Academic Department”. Managem. Sci. 19 (1972) 1387–1396.

    Google Scholar 

  • R. GUESNERIE, “Pareto Optimality in Nonlinear-Convex Economics”. Econometrica 43 (1975) 1–29.

    Article  Google Scholar 

  • Y. Y. HAIMES, W. A. HALL and H. T. FREEDMAN, “Multiobjective Optimization in Water Resource Systems”. Elsevier Scientific Publ. Co., N. Y. (1975).

    Google Scholar 

  • E. L. HANNAN, “Using Duality Theory for Identification of Primal Efficient Points and for Sensitivity Analysis in Multiple Objective Linear Programming”. J. Opl. Res. Soc., 29 (1978) 643–649.

    Google Scholar 

  • P. HANSEN, (ed.), “Proceedings of The Multiple Criteria Decision Making Symposium in Mons, Belgium”. To appear with Springer, N. Y. (1983).

    Google Scholar 

  • R. HARTLEY, “On Cone-Efficiency, Cone-Convexity and Cone-Compactness”. SIAM J. of Applied Mathematics 34 (1978) 211–222.

    Article  Google Scholar 

  • M. I. HENIG, “A Generalized Method of Approximating the Set of Efficient Points with Respect to a Convex cone”. In: Organisations, Multiple Agents with Multiple Criteria ( J. MORSE, ed.), Springer, N. Y. (1981) 140–144.

    Chapter  Google Scholar 

  • R. HETTICH, “Charakterisierung lokaler Pareto-Optima”. Lecture Notes in Economics and Mathematical Systems No 117, Springer, N. Y. (1976) 127–141.

    Google Scholar 

  • W. HILDENBRANDT, “Core and Equilibria of a Large Economic”. Princeton Univ. Press, Princeton, N. Y. (1975).

    Google Scholar 

  • C. L. HWANG and A. S. M. MASUD, “Multiple Objective Decision Making - Methods and Applications”. Springer, N. Y./Berlin (1979).

    Book  Google Scholar 

  • J. P. IGNIZIO, “Goal Programming and Extensions”. Lexington Books, Lexington, Mass. (1976).

    Google Scholar 

  • J. P. IGNIZIO, “A Review of Goal Programming: A Tool for Multiobjective Analysis”. J. Opl. Res. Soc. 29 (1978) 1109–1119.

    Google Scholar 

  • Y. IJIRI, “Management Goals and Accounting for Control”. North Holland, Amsterdam (1965).

    Google Scholar 

  • H. ISERMANN, “Lösungsansätze zum Entscheidungsproblem des Satisfizierens bei mehrfacher Zielsetzung”. Proc. Operations Research 3 (1974a) 64–74.

    Google Scholar 

  • H. ISERMANN, “Proper Efficiency and the Linear Vector Maximum Problem”. Oper. Res. Quart. 22 (1974b) 189–191.

    Article  Google Scholar 

  • H. ISERMANN, “The Relevance of Duality in Multiple Objective Linear Programming”. TIMS Studies in the Managern. Sciences 6 (1977a) 241–262.

    Google Scholar 

  • H. ISERMANN, “The Enumeration of the Set of all Efficient Solutions for a Linear Multiple Objective Program”. Opl. Res. Quart. 28 (1977b) 711–725.

    Article  Google Scholar 

  • H. ISERMANN, “On Some Relations Between a Dual Pair of Multiple Objective Linear Programs”. Zeitschrift f. Operations Research 22 (1978), 33–41.

    Article  Google Scholar 

  • J. JAHN, “Duality Theory for Vector Optimization Problems in Normed Linear Spaces”. Work. Paper No 534, Technische Universität Darmstadt (February 1980).

    Google Scholar 

  • E. JOHNSEN, “Studies in Multiobjective Decision Models”. Studentlit., Lund, Sweden (1968).

    Google Scholar 

  • K. C. KAPUR, “Mathematical Methods of Optimization for Multi-Objective Transportation Systems”. Socio-Economic Planning Science 4 (1970) 451–467.

    Article  Google Scholar 

  • S. KARLIN, “Mathematical Methods and Theory in Games, Programming and Economics”. Reading (Mass.), Palo Alto (1962).

    Google Scholar 

  • R. L. KEENEY and H. RAIFFA, “Decisions with Multiple Objectives: Preferences and Value Tradeoffs”. Wiley, N. Y. (1976).

    Google Scholar 

  • G. J. KELLEHER, “A Serialized Linear Programming Model for Obtaining Successive Minimax Strategies”. J. Oper. Res. Soc. Japan 12 (1970) 87–93.

    Google Scholar 

  • A. KLINGER, “Improper Solutions of the Vector Maximum Problem”. Operations Research 15 (1967) 570–572.

    Article  Google Scholar 

  • T. C. KOOPMANS, “Analysis of Production as an Efficient Combination of Activities”. In: Activity Analysis of Production and Allocation ( T. C. KOOPMANS, ed.), Yale Univ. Press, New Haven (1951) 33–97.

    Google Scholar 

  • J. S. H. KORNBLUTH, “Duality, Indifference and Sensitivity Analysis in Multiple Objective Linear Programming”. Opl. Res. Quart. 25 (1974) 599–614.

    Article  Google Scholar 

  • J. H. S. KORNBLUTH and R. E. STEUER, “Multiple Objective Linear Fractional Programming”. Decision Sciences.Working Paper No 79–03–19, The Warton School, Univ. of Pennsylvania (1979).

    Google Scholar 

  • J. H. S. KORNBLUTH and R. E. STEUER, “On Computing the Set of all Weakly Efficient Vertices in Multi-Objective Linear Fractional Programming”. In: Multiple Criteria Decision Making: Theory and Application ( G. FANDEL and T. GAL, eds.), Springer, N. Y. (1980) 189–202.

    Google Scholar 

  • H. W. KUHN and A. W. TUCKER, “Nonlinear Programming”. In: Proc. of the 2nd Berkley Symposium on Mathematical Statistics and Probability ( J. NEYMAN, ed.), Univ. of California Press, Berkley, California (1951) 481–492.

    Google Scholar 

  • H. LEBERLING, “Zur Theorie der linearen Vektormaximumprobleme”. Dissertation, Universität Aachen (1977).

    Google Scholar 

  • S. M. LEE, “Goal Programming for Decision Analysis”. Auerbach Publ., Philadelphia (1972).

    Google Scholar 

  • R. LEHMANN und W. OETTLI, “The Theorem of the Alternative, the Key theorem, and the Vectormaximum Problem”. Math. Progr. 8 (1975) 332–344.

    Article  Google Scholar 

  • K. R. MacCRIMMON, “An Overview of Multiple Objective Decision Making”. In: Multiple Criteria Decision Making ( J. L. COCHRANE and M. ZELENY, eds.), University of South Carolina Press, Columbia (1973) 18–44.

    Google Scholar 

  • M. MANAS, “IIlohy Vektorové Maximalizace”. Matematicko-Ekonomickÿ Obzor 14 (1978) 251–265.

    Google Scholar 

  • O. L. MANGASARIAN and W. R. S. SUTHERLAND, “Solution of the Linear Inverse Vector Optimization Problem by a Simple Linear Program”. Math. Progr. 15 (1978) 232–235.

    Article  Google Scholar 

  • G. MENGES and H. DIEHL, “Über die operationale Eignung von Entscheidungsmodellen”. Statistische Hefte 7 (1966) 30–41.

    Article  Google Scholar 

  • V. V. MERKURIEV and M. A. MOLDAVSKII, “A Family of Convolutions of a Vector-Valued Criterion for Finding Points in a Pareto-Set”. Automation and Remote Control 40 (1970) 87–97.

    Google Scholar 

  • J. MORSE, (ed.), “Organizations: Multiple Agents with Multiple Criteria”. Springer, N. Y. (1981).

    Google Scholar 

  • P. H. NACCACHE, “Stability in Multicriteria Optimization”. PhD Thesis, Univ. of California at Berkley, Berkley, California (1977).

    Google Scholar 

  • P. H. NACCACHE, “Connectedness of the Set of Nondominated Outcomes in Multicriteria Optimization”. JOTA 25 (1978) 459–467.

    Article  Google Scholar 

  • H. NAKAYAMA, “Duality and Related Theorems in Convex Vector Optimization”. Research Rep. No 4, Konan Univ. Kobe, Japan (July 1980).

    Google Scholar 

  • J. von NEUMANN and O. MORGENSTERN. MORGENSTERN, “ Theory of Games and Economic Behaviour”. Princeton Univ. Press, Princeton, N. Y. (1944).

    Google Scholar 

  • W. OETTLI, “A Duality Theorem for the Nonlinear Vectormaximum Problem”. In: Colloquia Mathematica Societatis Janos Bolyai, 12. Progress in OR, Eger (Hungary) (1974) 697–703.

    Google Scholar 

  • V. PARETO, “Cours d’Economie Politique”. Rouge, Lausanne (1896).

    Google Scholar 

  • J. PHILIP, “Algorithms for the Vectormaximization Problem”. Math. Prog. 2 (1972) 207–229.

    Article  Google Scholar 

  • J. PHILIP, “Vector Maximization at a Degenerate Vertex”. Math. Progr. 13 (1977) 357–359.

    Article  Google Scholar 

  • V. V. PODINOVSKIJ, “Lexicographical Games”. Advances in Game Theory, Proc. Sec. USSR Game Theory Conference, Vilnius (1973).

    Google Scholar 

  • D. RAND, “Thresholds in Pareto Sets”. J. of Mathematical Economics 3 (1976) 139–154.

    Article  Google Scholar 

  • P. RIETVELD, “Multiple Objective Decision Methods and Regional Planning”. North Holland, Amsterdam (1980).

    Google Scholar 

  • W. RÖDDER, “A Generalized Saddlepoint Theory”. European J. of Operational Research 1 (1977) 55–59.

    Article  Google Scholar 

  • B. ROY, “Problems and Methods with Multiple Objective Functions”. Math. Progr. 1 (1971) 239–266.

    Article  Google Scholar 

  • B. ROY, From Optimization on a Fixed Set to Multicriteria Decision Aid“. In: Multiple Criteria Decision Making: Jouy-en-Josas, France ( H. THIRIEZ and S. ZIONTS, eds.), Springer, N. Y. (1976).

    Google Scholar 

  • D. G. SAARI, “Singularity Theory of Utility Mappings–I. Degenerate Maxima and Pareto Optima”. J. of Mathematical Economics 59 (1977) 217–251.

    Article  Google Scholar 

  • P. SCHÖNFELD, “Some Duality Theorems for the Non-Linear Vectormaximum Problem”. Unternehmensforschung 14 (1970) 51–63.

    Article  Google Scholar 

  • C. P. SIMON and C. TITUS, “Characterization of Optima in Smooth Pareto Economic Systems”. J. of Math. Economics 2 (1975) 297–330.

    Article  Google Scholar 

  • S. SMALE, “Global Analysis and Economics: III. Pareto Optima and Price Equilibria”. J. of Mathematical Economics 1 (1974a) 107–117.

    Article  Google Scholar 

  • S. SMALE, “Global Analysis and Economics: V. Pareto Theory with Constraints”. J. of Math. Econ. 1 (1974b) 213–221.

    Article  Google Scholar 

  • S. SMALE, “Global Analysis and Economics: VII. Geometric Analysis of Pareto Optima and Price Equilibria under Classical Hypothesis”. J. of Math. Econ. 3 (1976) 1–14.

    Article  Google Scholar 

  • R. M. SOLAND, “Multicriteria Optimization: A General Characterization of Efficient Solutions”. Decision Sciences 10 (1979) 26–38.

    Article  Google Scholar 

  • M. K. STARR and M. ZELENY, “Multi Criteria Decision Making: State and Future of the Arts”. In: Multiple Criteria Decision Making ( M. K. STARR and M. ZELENY, eds.), North Holland, N. Y./Amsterdam (1977) 5–29.

    Google Scholar 

  • M. K. STARR and M. ZELENY, eds., “Multi Criteria Decision Making”. North Holland, N. Y./Amsterdam (1977).

    Google Scholar 

  • K. TAMURA, “A Method for Constructing the Polar Cone of a Polyhedral Cone with Applications to Linear Multi Criteria Decision Problems”. JOTA 19 (1976) 547–564.

    Article  Google Scholar 

  • T. TANINO and Y. SAWARAGI, “Duality Theory in Multiobjective Programming”. JOTA 27 (1979) 509–529.

    Article  Google Scholar 

  • H. THIRIEZ and S. ZÍONTS, eds., “Multiple Criteria Decision Making”. Springer, N. Y. (1976).

    Google Scholar 

  • J. VANGELDERE, “Pareto Weak Minimality and Various Connectedness Properties”. Oper. Res. Verfahren 31 (1979) 663–676.

    Google Scholar 

  • B. VISWANATHAN, V. V. AGGARWAL and K. P. K. NAIR, “Multiple Criteria Markov Decision Processes”. In: Multi Criteria Decision Making ( M. K. STARR and M. ZELENY, eds.) North Holland, N. Y./Amsterdam (1977) 263–272.

    Google Scholar 

  • Y.-H. WAN, “On Local Pareto Optima”. J. of Mathematical Economics 2 (1975) 35–42.

    Article  Google Scholar 

  • R. E. WENDELL and D. N. LEE, “Efficiency in Multiple objective Optimization Problems”. Math. Progr. 12 (1977) 406–414.

    Article  Google Scholar 

  • J. WILHELM, “A Generalized Concept of Solution Principles for the Multi Criteria Decision Making Problem”. European J. for Operational. Research 1 (1977) 376–385.

    Article  Google Scholar 

  • H. M. WINKELS, “Complete Efficiency Analysis for Linear Vector Maximum Systems”. Work. Paper No 8002, Ruhr-University Bochum, ( July 1980 ).

    Google Scholar 

  • H. WOLF, “Entscheidungsfindung bei der stochastischen Linearen Optimierung durch Entscheidungsmodelle mit mehrfacher Zielsetzung”. Dissertation, University Hagen (1982).

    Google Scholar 

  • P. L. YU, “Introduction to Domination Structures in Multi Criteria Decision Problems”. In: Proc. of the Seminar on Multi Criteria Decision Making ( J. L. COCHRANE and M. ZELENY, eds.) University of South Carolina Press, Columbia (1973a) 249–261.

    Google Scholar 

  • P. L. YU, “A Class of Solutions for Group Decision Problems”. Managern. Sci. 19 (1973b) 936–946.

    Google Scholar 

  • P. L. YU, “Cone Convexity, Cone Extreme Points and Nondominated Solutions in Decision Problems with Multiobjectives”. JOTA 14 (1974) 319–377.

    Article  Google Scholar 

  • P. L. YU, “Behaviour Bases and Habitual Domains of Human Decision/ Behaviour–Concepts and Applications”. In: Multi Criteria Decision Making: Theory and Application ( G. FANDEL and T. GAL, eds.) Springer, N. Y. (1980) 511–539.

    Google Scholar 

  • P. L. YU and G. LEITMANN, “Compromise Solutions, Domination Structures and Salukvadze’s Solution”. Problems of Control and Information Theory 2 (1973) 183–197.

    Google Scholar 

  • P. L. YU and M. ZELENY, The Set of all Nondominated Solutions in Linear Cases and a Multi Criteria Simplex-Method“. J. of Mathematical Analysis and Applications 49 (1975) 430–468.

    Article  Google Scholar 

  • M. ZELENY, “Linear Multiobjectiv Programming”. Springer, N. Y. (1974).

    Google Scholar 

  • M. ZELENY, (ed.) “Multiple Criteria Decision Making: Kyoto 1975”, Springer, N.Y. (1976).

    Google Scholar 

  • M. ZELENY, “Multiple Criteria Decision Making”. Mc Graw Hill, 1’. Y. (1982).

    Google Scholar 

  • S. ZIONTS, “Integer Linear Programming with Multiple Objectives”. Annals of Discrete Mathematics 1 (1977) 551–562.

    Article  Google Scholar 

  • S. ZIONTS, (ed.) “Multiple Criteria Problem Solving”. Springer, N.Y. (1978).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1983 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gal, T. (1983). On Efficient Sets in Vector Maximum Problems — A Brief Survey. In: Hansen, P. (eds) Essays and Surveys on Multiple Criteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46473-7_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-46473-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-11991-3

  • Online ISBN: 978-3-642-46473-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics