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Dynamic Programming over a Continuous and Disjoint Multidimensional Search Space with an Infinite Time Horizon

Author

Listed:
  • Richard E. Hawkins

    (Iowa State University)

  • Jack Dekkers

    (Iowa State University)

  • James B. Kleibenstein

    (Iowa State University)

Abstract

Dynamic programming with continuous choice variables generally assumes compact search spaces. Collapsing disjoint n-dimensional bubbles within the space, creating and indexing new bubbles as needed, pushes back the "curse of dimensionality." An animal-breeding optimization is used as an example. The method could solve complex optimal-growth problems.

Suggested Citation

  • Richard E. Hawkins & Jack Dekkers & James B. Kleibenstein, 1999. "Dynamic Programming over a Continuous and Disjoint Multidimensional Search Space with an Infinite Time Horizon," Computing in Economics and Finance 1999 811, Society for Computational Economics.
  • Handle: RePEc:sce:scecf9:811
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