Simulated annealing applied to the irregular rotational placement of shapes over containers with fixed dimensions


Autoria(s): MARTINS, T. C.; Tsuzuki, Marcos de Sales Guerra
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/10/2012

18/10/2012

2010

Resumo

This work deals with the problem of minimizing the waste of space that occurs on a rotational placement of a set of irregular two dimensional polygons inside a two dimensional container. This problem is approached with an heuristic based on simulated annealing. Traditional 14 external penalization"" techniques are avoided through the application of the no-fit polygon, that determinates the collision free area for each polygon before its placement. The simulated annealing controls: the rotation applied, the placement and the sequence of placement of the polygons. For each non placed polygon, a limited depth binary search is performed to find a scale factor that when applied to the polygon, would allow it to be fitted in the container. It is proposed a crystallization heuristic, in order to increase the number of accepted solutions. The bottom left and larger first deterministic heuristics were also studied. The proposed process is suited for non convex polygons and containers, the containers can have holes inside. (C) 2009 Elsevier Ltd. All rights reserved.

Identificador

Expert Systems with Applications, v.37, n.3, p.1955-1972, 2010

0957-4174

http://producao.usp.br/handle/BDPI/18332

10.1016/j.eswa.2009.06.081

http://dx.doi.org/10.1016/j.eswa.2009.06.081

Idioma(s)

eng

Publicador

PERGAMON-ELSEVIER SCIENCE LTD

Relação

Expert Systems with Applications

Direitos

restrictedAccess

Copyright PERGAMON-ELSEVIER SCIENCE LTD

Palavras-Chave #Nesting #2D cutting and packing #Optimization #MULTIPLE TRANSLATIONAL CONTAINMENT #CUTTING STOCK PROBLEM #GENETIC ALGORITHMS #PACKING PROBLEMS #NESTING PROBLEMS #OPTIMIZATION #POLYGONS #TYPOLOGY #SEARCH #PARTS #Computer Science, Artificial Intelligence #Engineering, Electrical & Electronic #Operations Research & Management Science
Tipo

article

original article

publishedVersion