A Heuristic Based Solution for Rectangle Packing Problem

Name: A Heuristic Based Solution for Rectangle Packing Problem
Brand: LAP Lambert Academic Publishing
SKU: 9783846538425
Price: 290.35 PLN
Availability: InStock

An Analysis and Design of Heuristic Approach

Autor: Leena Jain, Kawaljeet Singh

Język:

Oprawa: Miękka

Wydawca: LAP Lambert Academic Publishing

Dostępność: Dostępna u dostawcy

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This monograph investigates approaches for two-dimensional stock cutting (Rectangle Packing) problem...

Informacje o książce

Autor

Leena Jain, Kawaljeet Singh

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2011

strony

296

EAN

9783846538425

Enbook ID

06974917

Wydawca

LAP Lambert Academic Publishing

Waga

459

Wymiary

150 x 220 x 18

Pełny opis

This monograph investigates approaches for two-dimensional stock cutting (Rectangle Packing) problems and development of a new algorithm which brings back the revision of a classical heuristic for Rectangle Packing as proposed by Cheok and Nee. These problems occur in several important manufacturing industries e.g. Paper, Glass, Wood, Textile, Plastic and Foam, Garments, Leather, Ship manufacturing and Shoe making etc. The application of automatic packing algorithms can yield considerable cost savings through the diminution of human solvers and better utilisation of raw material.The scope of the research study is to develop an algorithm for a heuristic that aims for optimisation of a rectangle packing problem (RPP). An instance of RPP can be described as number of rectangles called items (comparatively smaller in size) that are to be packed/ cut from relatively larger rectangles called objects, in such a way that the scrap left is minimum or sheet utilisation is maximum. These objects can even be a stock of different sized rectangles available in assorted numbers. This monograph has 6 chapters and provides adequate material on various approaches to solve the RPP.

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A Heuristic Based Solution for Rectangle Packing Problem

An Analysis and Design of Heuristic Approach

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