Abstract
An overview of interval arithmetical tools and basic techniques is presented that can be used to construct deterministic global optimization algorithms. These tools are applicable to unconstrained and constrained optimization as well as to nonsmooth optimization and to problems over unbounded domains. Since almost all interval based global optimization algorithms use branch-and-bound methods with iterated bisection of the problem domain we also embed our overview in such a setting.
Similar content being viewed by others
References
Alefeld, G. and Herzberger, J. (1983), Introduction to Interval Computations, Academic Press, New York.
Asaithambi, N. S., Shen, Z., and Moore, R. E. (1982), On Computing the Range of Values, Computing 28, 225–237.
Bauch, H., Jahn, K. U., Oelschlägel, D., Süsse, H., and Wiebigke, V. (1987), Intervall-mathematik, Teubner, Leipzig.
Caprani, O. and Madsen, K. (1979), Interval Methods for Global Optimization, Report NI 79-09, Technical University of Denmark.
Clarke, F. H. (1983), Optimization and Nonsmooth Analysis, Wiley, New York.
Dixon, L. C. W. and Fitzharris, A. M. (1985), Conjugate Gradients: An Interval Analysis, Technical Report Nr. 165. Numerical Optimization Center, Hatfield, Polytechnic, Hatfield.
Dussel, R. (1972), Einschließung des Minimalpunktes einer streng konvexen Funktion auf einem N-Dimensionalen Quader, Dissertation, Universität Karlsruhe.
Fang, Yuo-Kang (1982), Interval Test on Unconstrained Global Optimization (in Chinese). Comm. Interval Anal., Math. Fac. of Liaoning Univ. 2, 43–59.
Hansen, E. (1979), Global Optimization Using Interval Analysis—The One-Dimensional Case, J. Optim. Theory Appl. 29, 331–344.
Hansen, E. (1980), Global Optimization Using Interval Analysis—The Multi-Dimensional Case, Numer. Math. 34, 247–270.
Hansen, E.: Interval Tools for Global Optimization, forthcoming.
Hansen, E. and Sengupta, S. (1983), Summary and Steps of a Global Nonlinear Constrained Optimization Algorithm. Lockheed Missiles & Space Co. Report No. D 889778, Sunnyvale, California.
Hansen, E. and Walster, G. W. (1987), Nonlinear Equations and Optimization, Preprint.
Hansen, P., Jaumard, B., and Lu, S.-H. (1991) An Analytical Approach to Global Optimization. Math. Programming, Series B, forthcoming.
Horst, R. and Tuy, H. (1990), Global Optimization, Springer-Verlag, Berlin.
Ichida, K. and Fujii, Y. (1979), An Interval Arithmetic Method for Global Optimization Computing 23, 85–97.
Kahan, W. M. (1968), A More Complete Interval Arithmetic. Lectures Notes at the University of Michigan, Michigan.
Kearfott, R. B. (1987), Abstract Generalized Bisection and a Cost Bound, Mathem. of Computation 49, 187–202.
Krawczyk, R. (1969), Newton-Algorithmen zur Bestimmung von Nullstellen mit Fehlerschranken, Computing 4, 187–201.
Krawczyk, R. and Nickel, K. (1982), Die zentrische Form in der Intervallarithmetik, ihre quadratische Konvergenz und ihre Inklusions Isotonie, Computing 28, 117–137.
Kulisch, U. and Miranker, W. L. (1986), The Arithmetic of the Digital Computer: A New Approach, SIAM Review, March 1986, 1–40.
Mancini, L. J. (1975), Applications of Interval Arithmetic in Signomial Programming, Ph.D. Thesis. Stanford University.
Mancini, L. J. and McCormick, G. P. (1979), Bounding Global Minima with Interval Arithmetic, Oper. Res. 27, 743–754.
Mancini, L. J. and Wilde, D. J. (1978), Interval Arithmetic in Unidimensional Signomial Programming, J. Optim. Theory Appl. 26, 227–289.
Mancini, L. J. and Wilde, D. J. (1979), Signomial Dual Kuhn-Tucker Intervals, J. Optim. Theory Appl. 28, 11–27.
McCormick, G. P. (1981), Finding the Global Minimum of a Function of one Variable Using the Method of Constant Signed Higher Order Derivatives, in: Nonlinear Program. 4, ed. by O. L.Mangasarian, R. R.Meyer, and S. M.Robinson, Academic Press, New York, 223–243 (1981).
Mohd, I. B. (1986), Global Optimization Using Interval Arithmetic Ph. D. Thesis, Univ. of St. Andrews, St. Andrews, Scotland.
Moore, R. E. (1966), Interval Analysis, Prentice-Hall, Englewood Cliffs.
Moore, R. E. (1976), On Computing the Range of a Rational Function of n Variables over a Bounded Region, Computing 16, 1–15.
Moore, R. E. (1977), A Test for Existence of Solutions to Nonlinear Systems, SIAM J. Numer. Analy. 14, 611–615.
Moore, R. E. (1979) Methods and Applications of Interval Analysis, SIAM, Philadelphia.
Moore, R. E. and Ratschek, H. (1988), Inclusion Functions and Global Optimization II, Math. Programming 41, 341–356.
Neumaier, A. (1991), Interval Methods for Systems of Equations, Cambridge University Press, Cambridge, forthcoming.
Oelschlaegel, D. and Süsse, H. (1978), Fehlerabschätzung beim Verfahren von Wolfe zur Lösung quadratischer Optimierungsprobleme mit Hilfe der Intervallarithmetik, Math. Operationsforsch. Statist., Ser. Optimization 9, 389–396.
Ratschek, H. (1985), Inclusion Functions and Global Optimization, Mathematical Programming 33, 300–317.
Ratschek, H. and Rokne, J. (1984), Computer Methods for the Range of Functions, Horwood, Chichester.
Ratschek, H. and Rokne, J. (1987), Efficiency of a Global Optimization Algorithm, SIAM J. Numer. Analysis 24, 1191–1201.
Ratschek, H. and Rokne, J. (1988), New Computer Methods for Global Optimization, Horwood, Chichester.
Ratschek, H. and Voller, R. L. (1990), Global Optimization over Unbounded Domains, SIAM J. Control Optimization 28, 528–539.
Robinson, S. M. (1973), Computable Error Bounds for Nonlinear Programming, Math. Programming 5, 235–242.
Sengupta, S. (1981), Global Nonlinear Constrained Optimization, Dissertation, Department of Pure and Applied Mathematics, Washington State University.
Skelboe, S. (1974), Computation of Rational Interval Functions, BIT 4, 87–95.
Stroem, T. (1971), Strict Estimation of the Maximum of a Function of one Variable, BIT 11, 199–211.
Süsse, H. (1977), Intervallarithmetische Behandlung von Optimierungsproblemen und damit verbundener numerischer Aufgabenstellungen, Dissertation, Technische Hochschule Leuna-Merseburg.
Süsse, H. (1980), Intervallanalytische Behandlung nichtlinearer Optimierungsaufgaben, Dissertation zur Promotion B. Technische Hochschule “Carl Schorlemer”, Leuna-Merseburg.
Walster, G. W., Hansen, E. R., and Sengupta, S. (1985), Test Results for a Global Optimization Algorithm, in: Numerical Optimization 1984, ed. by Boggs, P. T., Byrd, R. H., and Schnabel, R. B., Siam, pp. 272–282.
Dussel, R. and Schmitt, B. (1970) Die Berechnung von Schranken für den Wertebereich eines Polynoms in einem Intervall, Computing 6, 35–60.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Ratschek, H., Voller, R.L. What can interval analysis do for global optimization?. J Glob Optim 1, 111–130 (1991). https://doi.org/10.1007/BF00119986
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF00119986