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Constructive Geometric Constraint Solving: A New Application of Genetic Algorithms

  • R. Joan-Arinyo
  • M.V. Luzón
  • A. Soto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2439)

Abstract

Geometric problems de.ned by constraints have an exponential number of solution instances in the number of geometric elements involved. Generally, the user is only interested in one instance such that besides fulfilling the geometric constraints, exhibits some addicional properties. Selecting a solution instance amounts to selecting a given root everytime the geometric constraint solver needs to compute the zeros of a multivaluated function. The problem of selecting a given root is known as the Root Identification Problem. In this paper we present a new technique to solve the root identification problem based on an automatic search in the space of solutions performed by a genetic algorithm. The user specifies the solution of interest by defining a set of additional constraints on the geometric elements which drive the search of the genetic algorithm. Some examples illustrate the performance of the method.

Keywords

Genetic Algorithm Geometric Constraint Geometric Problem Geometric Element Extra Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • R. Joan-Arinyo
    • 1
  • M.V. Luzón
    • 2
  • A. Soto
    • 1
  1. 1.Departament de Llenguatges i Sistemes InformàticsUniversitat Politècnica de CatalunyaBarcelona
  2. 2.Escuela Superior de Ingeniería InformáticaUniversidad de VigoOurense

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