Packing ovals in optimized regular polygons

被引:12
|
作者
Kampas, Frank J. [1 ]
Pinter, Janos D. [2 ]
Castillo, Ignacio [3 ]
机构
[1] Physicist Large Consulting LLC, Bryn Mawr, PA USA
[2] Lehigh Univ, Dept Ind & Syst Engn, Bethlehem, PA 18015 USA
[3] Wilfrid Laurier Univ, Lazaridis Sch Business & Econ, Waterloo, ON, Canada
关键词
Object packings; Generalized ellipses (ovals; eggs); Regular polygon containers; Model development using embedded Lagrange multipliers; Global-local nonlinear optimization; Numerical test results; GROWTH;
D O I
10.1007/s10898-019-00824-8
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
We present a model development framework and numerical solution approach to the general problem-class of packing convex objects into optimized convex containers. Specifically, we discuss the problem of packing ovals (egg-shaped objects, defined here as generalized ellipses) into optimized regular polygons in R2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\mathbb{R}}<^>{2} $$\end{document}. Our solution strategy is based on the use of embedded Lagrange multipliers, followed by nonlinear optimization. Credible numerical results are attained using randomized starting solutions, refined by a single call to a local optimization solver. We obtain visibly good quality packings for packing 4 to 10 ovals into regular polygons with 3 to 10 sides in all 224 test problems presented here. Our modeling and solution approach can be extended towards handling other difficult packing problems.
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页码:175 / 196
页数:22
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