Paper Info
Title
An Instance Generator for the Multi-Objective 3D Packing Problem.
Abstract
Cutting and packing problems have important applications to the transportation of cargo. Many algorithms have been proposed for solving the 2D/3D cutting stock problems but most of them consider single objective optimization. The goal of the problem here proposed is to load the boxes that would provide the highest total volume and weight to the container, without exceeding the container limits. These two objectives are conflicting because the volume of a box is usually not proportional to its weight. This work deals with a multi-objective formulation of the 3D Packing Problem (3DPP). We propose to apply multi-objective evolutionary algorithms in order to obtain a set of non dominated solutions, from which the final users would choose the one to be definitely carried out. For doing an extensive study, it would be necessary to use more problem instances. Instances to deal with the multi-objective 3DPP are non-existent. For this purpose, we have implemented an instance generator.
Year
DOI
Venue
2016
10.1007/978-3-319-47364-2_37
INTERNATIONAL JOINT CONFERENCE SOCO'16- CISIS'16-ICEUTE'16
Keywords
Field
DocType
3D Packing Problem,Multi-objective optimization,Instance generator
3d packing,Evolutionary algorithm,Packing problems,Computer science,Theoretical computer science,Multi-objective optimization,Single objective
Conference
Volume
ISSN
Citations 
527
2194-5357
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yanira González1193.68
Gara Miranda218818.16
Coromoto León323125.71