A fuzzy approach for the variable cost and size bin packing problem allowing incomplete packing

Authors

  • Jorge Herrera-Franklin División de Transporte Marítimo / Centro de Investigación y Manejo Ambiental del Transporte, Cuba
  • Alejandro Rosete Universidad Tecnológica de La Habana José Antonio Echeverría (CUJAE), Cuba
  • Milton García-Borroto Universidad Tecnológica de La Habana José Antonio Echeverría (CUJAE), Cuba

DOI:

https://doi.org/10.4114/intartif.vol24iss67pp71-89

Keywords:

Heuristic Search and Optimization, Variable Size and Cost Bin Packing Problem, Fuzzy Systems, Incomplete Packing

Abstract

The Variable Cost and Size Bin Packing Problem (VCSBPP) is a known NP-Hard problem that consists in minimizing the cost of all bins used to pack a set of items. There are many real-life applications of the VCSBPP where the focus is to improve the efficiency of the solution method. In spite of the existence of fuzzy approaches to adapt other optimization problems to real life conditions, VCSBPP has not been extensively studied in terms of relaxations of the crisp conditions. In this sense, the fuzzy approaches for the VCSBPP varies from relaxing the capacity of the bins to the items weights. In this paper we address a non-explored side consisting in relaxing the set of items to be packed. Therefore, our main contribution is a fuzzy version of VCSBPP that allows incomplete packing. The proposed fuzzy VCSBPP is solved by a parametric approach. Particularly, a fast heuristic algorithm is introduced that allows to obtain a set of solutions with interesting trade-offs between cost and relaxation of the original crisp conditions. An experimental study is presented to explore the proposed fuzzy VCSBPP and its solution.

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Published

2021-04-13

How to Cite

Herrera-Franklin, J., Rosete, A., & García-Borroto, M. (2021). A fuzzy approach for the variable cost and size bin packing problem allowing incomplete packing. Inteligencia Artificial, 24(67), 71–89. https://doi.org/10.4114/intartif.vol24iss67pp71-89