NETWORK DESIGN APPLICATIONS OF THE CLASS OF COLUMN GENERATION/SIMPLICIAL DECOMPOSITION ALGORITHMS IN CONVEX DIFFERENTIABLE OPTIMIZATION

Authors

  • Ricardo García Ródenas Universidad de Castilla La Mancha
  • Angel Marín Gracia Universidad Politécnica Madrid
  • Michael Patriksson Chalmers University of Technology

Keywords:

convex and differentiable programming, column generation, network design, capacitated network design, multicommodity flow problems, design of urban multimodal interchanges, and rail freight network design

Abstract

A new class of column generation/simplicial decomposition method for non linear convex and differentiable programming is presented. The new algorithm class builds on the intuitively appealing idea that non linear column generation problems may be advantageous computationally. Difference applications of this methodology are presented, with special attention to the unicommodity and multicommodity network flow problems, which are obtained when some decomposition methods applied to network design problems

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Published

2023-06-27

How to Cite

García Ródenas, R., Marín Gracia, A., & Patriksson, M. (2023). NETWORK DESIGN APPLICATIONS OF THE CLASS OF COLUMN GENERATION/SIMPLICIAL DECOMPOSITION ALGORITHMS IN CONVEX DIFFERENTIABLE OPTIMIZATION. Investigación Operacional, 22(2). Retrieved from https://revistas.uh.cu/invoperacional/article/view/7028

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