International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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Volume-7,Issue-2  ( Nov, 2019 )
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  Journal Paper

Paper Title
A Comparison Of Genetic Algorithm With Simulated Annealing For Cell Formation Problem

Abstract
key attributes of cellular manufacturing is the clustering of parts and machines into groups for maximizing machine utilization and minimizing operations performed outsides groups. In this research work manufacturing cell formation problem (CFP) is solved using two approaches i.e. Genetic Algorithm (GA) and Simulated Annealing (SA) with Grouping Efficacy (GE) as the fitness function. The performance of both approaches is measured through testing of 35 bench mark problems selected from literature. The comparative study shows that SA produced better results in 48.6% problems than GA. The computational time andstandard deviation of SA is lower than GA, further establishes the superiority of SA over GA for CFP solution. Key Words- Cellular Manufacturing, Genetic Algorithm, Simulated Annealing, Cell Formation Problem, Grouping Efficacy.


Author - Alam Zeba, Mushtaq Khanb, Adnan Tariqc, Nawar Khana, Liaqat Alib, Farooqueazama, Syed Husain Imran Jaffery

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| Published on 2015-12-28
   
   
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