A Mixed Integer Linear Programming approach for the 2D Strip Packing Problem with different size options for plots of land in Smart Floating Farms

EasyChair Preprint 1586

Abstract

In the context of modern agriculture, innovative methods have emerged, including Smart Floating Farms (SFF), sustainable structures capable of producing food on sea surfaces, lakes and rivers. We focus on the middle level of the SFF, where food production takes place. We present a Mixed Linear Integer Programming model to solve the Two-Dimensional Strip Packing Problem, taking into account different size options for plots of land each crop species, with the objective of minimizing the height at the middle level. To validate our model we using the MiniZinc constraint modeling language on a set of randomly generated instances.

Keyphrases: Mixed Integer Linear Programming, crop marking, dimensional strip packing problem, optimization model, packing problem, plots of land, smart farms, smart floating farm

@booklet{EasyChair:1586,
  author    = {Alejandro Fernández Gil and Mariam Gómez Sánchez and Carlos Castro Valdebenito and Yunesky Masip Macia},
  title     = {A Mixed Integer Linear Programming approach for the 2D Strip Packing Problem with different size options for plots of land in Smart Floating Farms},
  howpublished = {EasyChair Preprint 1586},
  year      = {EasyChair, 2019}}