A new class of test functions for global optimization

  • Authors:

  • Bernardetta Addis;Marco Locatelli

  • Affiliations:

  • Dip. Ingegneria dell'Informazione, Università di Siena, Siena, Italy;Dip. Informatica, Università di Torino, Torino, Italy

  • Venue:
  • Journal of Global Optimization
  • Year:
  • 2007

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Abstract

In this paper we propose a new class of test functions for unconstrained global optimization problems. The class depends on some parameters through which the difficulty of the test problems can be controlled. As a basis for future comparison, we propose a selected set of these functions, with increasing difficulty, and some computational experiments with two simple global optimization algorithms.