The Simple Genetic Algorithm Approach for Optimization of Nesting of Sheet Metal Parts in Blanking Operation-Reference-Cited by-同舟云学术

The Simple Genetic Algorithm Approach for Optimization of Nesting of Sheet Metal Parts in Blanking Operation

Published:2015-02-23 Issue:01 Volume:14 Page:41-53
ISSN:0219-6867
Container-title:Journal of Advanced Manufacturing Systems
language:en
Short-container-title:J. Adv. Manuf. Syst.

Author:

Ramesh K.¹,Baskar N.²

Affiliation:

1. Department of Mechanical Engineering, M.I.E.T Engineering College, Gundur, Trichy 620007, Tamilnadu, India

2. Department of Mechanical Engineering, Saranathan College of Engineering, Tiruchirappalli 620012, Tamilnadu, India

Abstract

The two-dimensional (2D) cutting stock is a common problem arising in the sheet metal industries, lock industries, textile industries, etc. Here, the problem is to reduce the wastage in order to increase the profit. This problem is also called as the general 2D problem or NP hard problems. The choice of chromosome representation in genetic algorithm (GA) depends on the variables of the optimization problem being solved. The main objectives of the work are the maximum utilization of part in the sheet and also minimizing the wastage.

Publisher

World Scientific Pub Co Pte Lt

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219686715500043

Reference24 articles.

1. A method to improve two-dimensional layout

2. Multistage Cutting Stock Problems of Two and More Dimensions

3. A Linear Programming Approach to the Cutting Stock Problem—Part II

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