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Year:
Volume:
Issue:
Improved Hybrid Genetic Algorithm for One-dimensional Cutting Stock Problem
Author(s):
LI Bin
,
HE Fei
,
School of Statistics and Mathematics
,
Inner Mongolia University of Finance and Economics
,
School of Mathematical Sciences
,
Inner Mongolia University
Pages:
245
-
250
Year:
2014
Issue:
3
Journal:
Acta Scientiarum Naturalium Universitatis Neimongol
Keyword:
one-dimensional cutting stock
;
genetic algorithm
;
combination
;
Abstract:
To solve the one-dimensional cutting stock problem,a local search method is devised, and a new hybrid algorithm is obtained by adding this method to the genetic algorithm.Experimental results demonstrate that the new algorithm is fairly efficient for computing the one-dimensional cutting stock problem.
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