EconPapers    
Economics at your fingertips  
 

Global Approaches for Facility Layout and VLSI Floorplanning

Miguel F. Anjos () and Frauke Liers ()
Additional contact information
Miguel F. Anjos: École Polytechnique de Montréal
Frauke Liers: Institut für Informatik, Universität zu Köln

Chapter Chapter 29 in Handbook on Semidefinite, Conic and Polynomial Optimization, 2012, pp 849-877 from Springer

Abstract: Abstract This chapter provides an overview of conic optimization models for facility layout and VLSI floorplanning problems. We focus on two classes of problems to which conic optimization approaches have been successfully applied, namely the single-row facility layout problem, and fixed-outline floorplanning in VLSI circuit design. For the former, a close connection to the cut polytope has been exploited in positive semidefinite and integer programming approaches. In particular, the semidefinite optimization approaches can provide global optimal solutions for instances with up to 40 facilities, and tight global bounds for instances with up to 100 facilities. For the floorplanning problem, a conic optimization model provided the first non-trivial lower bounds in the literature.

Keywords: Valid Inequality; Layout Problem; Facility Layout; Quadratic Assignment Problem; Very Large Scale Integration (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (10)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4614-0769-0_29

Ordering information: This item can be ordered from
http://www.springer.com/9781461407690

DOI: 10.1007/978-1-4614-0769-0_29

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-1-4614-0769-0_29