Comparison and evaluation of similarity measures in group technology
Computers and Industrial Engineering
An efficient algorithm for solving the machine chaining problem in cellular manufacturing
Computers and Industrial Engineering
A genetic algorithm approach to the machine-component grouping problem with multiple objectives
Computers and Industrial Engineering
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms and Grouping Problems
Genetic Algorithms and Grouping Problems
A new representation and operators for genetic algorithms applied to grouping problems
Evolutionary Computation
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The design and production planning of cellular manufacturing systems requires the decomposition of a company's manufacturing assets into cells. The set of machines has to be partitioned into machine-groups and the products have to be partitioned into part-families. Finding the machine-groups and their corresponding part-families leads to the combinatorial problem of simultaneously partitioning those two sets with respect to technological requirements represented by the part-machine incidence matrix. This article presents a new solution approach based on a grouping genetic algorithm enhanced by a heuristic motivated by cluster analysis methods.