CLPTAC-Om - Dataset and code

Published: 22 October 2019| Version 1 | DOI: 10.17632/n6cn5jgpn9.1
Contributors:
Pedro Castellucci,
Alysson M. Costa,
Franklina Toledo

Description

# Readme # Here, you can find some resources related to the manuscript *Output maximization container loading problem with time availability constraints* by Pedro B. Castellucci, Franklina M. B. de Toledo and Alysson M. Costa. Feel free to use it, partially or completely. But mind the terms of license. Also, note that there is no warranty for the code and __we do not provide support for it__. We recommend you to use the resources here as guidelines for your development. The code was developed using Julia 0.7 in Ubuntu 16.04. # Description of the folders # * *src*: Folder with source codes. * *datasets*: Folder with the instances. * *results*: Folder with the results. # Descriptions of the main source code files # * *2017_CLP_CL_dynProg.jl*: Reads the cost of the states and runs the dynamic programming algorithm. Results are saved in the form CLTAC-dyn-x, x = {1, 2, 4}. * *2017_CLP_CL_dynProgPreprocess.jl*: Solves the CLP for each instance in the dataset. It solves 10 versions of the problem. Considering boxes available up until t=1, then t=2, ..., t=10. * *2018_CLP_CL_dynProgAllStates.jl*: Solves each possible state to be used in the dynamic programming algorithm. * *2018_CLP_CL_dynPackingKnapsack.jl*: Runs the simulation for the arrival of the boxes using the solution from the dynamic programming to decided whether to load or wait for more boxes. * *2018_CLP_CL_dynPackingBoxSetManipulator.jl*: Auxiliary function to manipulate the boxes set that arrive. * *check.jl*: Reads an instance file and a solution file and checks the solution. See details in the last section For more info check the README.md file.

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Categories

Combinatorial Optimization, Dynamic Programming

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