Placement Problems for Irregular Objects: Mathematical Modeling, Optimization and Applications
Yuriy Stoyan (),
Alexandr Pankratov and
Tatiana Romanova ()
Additional contact information
Yuriy Stoyan: Institute for Mechanical Engineering Problems of the National Academy of Sciences of Ukraine
Alexandr Pankratov: Institute for Mechanical Engineering Problems of the National Academy of Sciences of Ukraine
Tatiana Romanova: Institute for Mechanical Engineering Problems of the National Academy of Sciences of Ukraine
A chapter in Optimization Methods and Applications, 2017, pp 521-559 from Springer
Abstract:
Abstract We describe our methodology for solving NP-hard irregular placement problems. We deal with an accurate representation of objects bounded by circular arcs and line segments and allow their free rotations within a container. We formulate a basic irregular placement problem (IRPP), which covers a wide spectrum of practical packing, cutting, nesting, clustering, and layout problems. We provide a nonlinear programming (NLP) model of the problem, employing the phi-function technique. Our model involves a large number of inequalities with nonsmooth functions. We describe a solution tree for our placement problem and evaluate the number of its terminal nodes. We reduce IRPP problem to a sequence of NLP-subproblems with smooth functions. Our solution strategy is based on combination of discrete and continuous optimization methods. We employ two approaches to solve IRPP problem: a branching scheme algorithm and an efficient optimization algorithm, which involves a feasible starting point and local optimization procedures. To show the benefits of our methodology we present computational results for a number of new challenger and the best known benchmark instances.
Keywords: Irregular Objects; Feasible Starting Points; Local Optimal Placement; Minimum Allowable Distance; True Ellipse (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (6)
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:spochp:978-3-319-68640-0_25
Ordering information: This item can be ordered from
http://www.springer.com/9783319686400
DOI: 10.1007/978-3-319-68640-0_25
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().