Constraint Programming Approach for Spatial Packaging Problem View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Abdelilah Sakti , Lawrence Zeidner , Tarik Hadzic , Brian St. Rock , Giusi Quartarone

ABSTRACT

The Spatial Packaging Problem (SPP) aims to solve a mixture of the 3D Packing Problem (3DPP) and the 3D Pipe-Routing Problem. The main feature that distinguishes the SPP from the traditional 3DPP is the interconnections that exist between its components. The SPP is more challenging because the shape and dimensions of the interconnections are unknown, and must be determined as part of the solution. In this paper, we propose a relaxation, a constraint programming model and a search heuristic to solve the SPP. We relax the SPP by using taxicab geometry and model it as a constraint satisfaction problem, then solve it by using a search heuristic based on interconnection volumes. The proposed approach has been evaluated on a challenging benchmark that reflects a range of aerospace and commercial applications varying in number of components and interconnections. The preliminary results show the effectiveness and efficiency of the proposed approach. More... »

PAGES

319-328

References to SciGraph publications

  • 2011. Operations Research and Constraint Programming at Google in PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING – CP 2011
  • 1992. Combinatorial Algorithms for Integrated Circuit Layout in NONE
  • 2007-06. An intelligent system for automatic layout routing in aerospace design in INNOVATIONS IN SYSTEMS AND SOFTWARE ENGINEERING
  • 2007-11. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm in JOURNAL OF GLOBAL OPTIMIZATION
  • Book

    TITLE

    Integration of AI and OR Techniques in Constraint Programming

    ISBN

    978-3-319-33953-5
    978-3-319-33954-2

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-33954-2_23

    DOI

    http://dx.doi.org/10.1007/978-3-319-33954-2_23

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1041649206


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