Document Type : Research Paper



One of the solutions for solving cutting stock problem in different
industries, such as sheet metal, lumber, glass, paper and textile, is
applying ,Particle Swarm Optimization to minimize the waste of
rawmaterials. This article is intended to solve two-dimensional cutting
problem. In these problems, larger rectangular plates, divided into
smaller rectangularsegments, aim to minimizing the number of used
plates or the waste of plates by considering demand. In this article
PSO is used. To enhance the efficiency of algorithm, and preventing
overlap in cutting problem, the CUL algorithm is used. In order to
investigate the results of algorithm, new software has been designed.
This software has two ways for solving the problem. First, it ends up
with optimized cutting pattern considering the number and dimension
of segments and, length and width of main plate. Also, there is a
possibility to give different width to software, in this case, the
software gives the user the optimum cutting pattern and optimum
length of main plate in addition to optimum width


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