RESOLUCION DEL PROBLEMA DE LA MOCHILA 0/1 USANDO ESQUELETOS DIVIDE-Y- VENCERAS Y RAMIFICACION-Y-ACOTACION

Authors

  • I. Dorta Departamento de Estadística, Investigación Operativa y Computación Universidad de La Laguna
  • C. León Departamento de Estadística, Investigación Operativa y Computación Universidad de La Laguna
  • C. Rodríguez Departamento de Estadística, Investigación Operativa y Computación Universidad de La Laguna
  • A. Rojas Departamento de Estadística, Investigación Operativa y Computación Universidad de La Laguna

Keywords:

Algorithmic Techniques, Algorithmic Skeletons, Branch and Bound, Divide and Conquer

Abstract

This paper presents the MaLLBa library. This library provides skeletons to solve combinatorial optimization problems using exact, heuristic and hybrid techniques. The user must choose a paradigm and for it must establish the problem and solution types and the specific characteristics of the technique using the C++ language. This information is combined with the skeletons provided by the library to obtain two programs: one sequential and other parallel. To exploit parallelism on Linux workstations, MaLLBa uses the Message Passing paradigm. This work is centered to present the Divide an Conquer and Branch and Bound skeletons. Concretely both of them will be applied to solve the Integer Knapsack Problem. Finally, the obtained computational results will be presented

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Published

2023-06-14

How to Cite

Dorta, I., León, C., Rodríguez, C., & Rojas, A. (2023). RESOLUCION DEL PROBLEMA DE LA MOCHILA 0/1 USANDO ESQUELETOS DIVIDE-Y- VENCERAS Y RAMIFICACION-Y-ACOTACION. Investigación Operacional, 25(1). Retrieved from https://revistas.uh.cu/invoperacional/article/view/6575

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