POSSIBILITIES OF GA IN OPTIMIZATION OF MANUFACTURING CELL FORMATION

Optimization of manufacturing cell formation includes a whole virtual cell formation procedure and has NP-hard complexity. In the last decades, evolutionary algorithms have been widely applied to real-world optimization including to manufacturing cell formation problems. Genetic algorithms (GAs) are possibly the most widespread variant of evolutionary algorithms and are now frequently used for a number of optimization problems in operation management. In this study it is discussed about theoretical and practical aspects of GA to bridge the gap between hypothetical analysis and real time implementation of GA in a given domain.