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South African Journal of Industrial Engineering

versión On-line ISSN 2224-7890
versión impresa ISSN 1012-277X

S. Afr. J. Ind. Eng. vol.20 no.2 Pretoria  2009

 

A genetic algorithm for two dimensional strip packing problems

 

 

V. MancapaI; T.I. van NiekerkII; T HuaIII

IDepartment of Electrical Engineering, Nelson Mandela Metropolitan University, South Africa mancapa@nmmu.ac.za
IIDepartment of Mechatronics, Nelson Mandela Metropolitan University, South Africa theo.vanNiekerk@nmmu.ac.za
IIIDepartment of Mechatronics, Nelson Mandela Metropolitan University, South Africa

 

 


ABSTRACT

Cutting and packing problems are combinatorial optimisation problems. In most manufacturing situations a raw material, usually in some standard size, has to be divided or cut into smaller items to complete the production of some product. It is therefore desirable that this raw material be used efficiently. A novel placement heuristic, hybridised with a genetic algorithm, is presented in this paper. A general solution encoding scheme, which is used to encode two dimensional strip packing problems, is also introduced in this study.


OPSOMMING

Die optimisering van sny- en pakprobleme vorm deel van die kombinasieleer. Dit is dikwels so by vervaardiging dat grondstof onderverdeel (gesny) word om te pas by die samestelling van 'n gegewe produk. Sodanige onderverdeling moet doeltreffend verrig word. 'n Veredelde heuristiese genetiese algoritme word hiervoor bekend gestel. 'n Algemene koderingsmetode vir tweedimensionele strookverpakking word voorgehou.


 

 

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1 The author was enrolled for an MTech (Electrical Engineering) degree at the Department of Electrical Engineering, Nelson Mandela Metropolitan University.

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