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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 10 > No. 4

 
   

Evolutionary Optimization of Set-Covering Problem

PP: 1293-1301
doi:10.18576/amis/100408
Author(s)
Eva Volna, Martin Kotyrba,
Abstract
The article aims how to use evolutionary algorithms in solving a set-covering problem. We have focused on the bin packing problem. This problem is known to be NP-hard; hence many heuristic procedures for its solution have been suggested. We propose a new solution of the problem by a genetic algorithm. The included experimental study presents the use of a genetic algorithm to find an optimal layout for the placement of regular patterns of fixed sizes and simple shapes to minimize the waste. This study indicates that genetic algorithms can effectively be used to obtain highly efficient solutions.

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