A survey of design methods for manufacturing cells
Proceedings of the 15th annual conference on Computers and industrial engineering
Computers and Operations Research
Cell formation in group technology: review, evaluation and directions for future research
Computers and Industrial Engineering - Cellular manufacturing systems: design, analysis and implementation
Computers and Industrial Engineering - Cellular manufacturing systems: design, analysis and implementation
A genetic algorithm approach to cellular manufacturing systems
Computers and Industrial Engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
An Incremental Genetic Algorithm Approach to Multiprocessor Scheduling
IEEE Transactions on Parallel and Distributed Systems
An evolutionary algorithm for manufacturing cell formation
Computers and Industrial Engineering
Parallel Metaheuristics: A New Class of Algorithms
Parallel Metaheuristics: A New Class of Algorithms
A new branch-&-bound-enhanced genetic algorithm for the manufacturing cell formation problem
Computers and Operations Research
A hybrid grouping genetic algorithm for the cell formation problem
Computers and Operations Research
A simulated annealing algorithm for manufacturing cell formation problems
Expert Systems with Applications: An International Journal
Applying K-harmonic means clustering to the part-machine classification problem
Expert Systems with Applications: An International Journal
Genetic algorithm approach for solving a cell formation problem in cellular manufacturing
Expert Systems with Applications: An International Journal
A hybrid genetic algorithm for machine-part grouping
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Collaborative particle swarm optimization with a data mining technique for manufacturing cell design
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An ant colony optimization metaheuristic for machine-part cell formation problems
Computers and Operations Research
Information Sciences: an International Journal
An exact schema theorem for adaptive genetic algorithm and its application to machine cell formation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Group technology based adaptive cell formation using predator-prey genetic algorithm
Applied Soft Computing
Cell formation using fuzzy relational clustering algorithm
Mathematical and Computer Modelling: An International Journal
A fuzzy c-means based hybrid evolutionary approach to the clustering of supply chain
Computers and Industrial Engineering
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Cell formation problem attempts to group machines and part families in dedicated manufacturing cells such that the number of voids and exceptional elements in cells are minimized. In this paper, we presented a linear fractional programming model with the objective of maximizing the grouping efficacy while the number of cells is unknown. To show the effectiveness of the proposed model, two test problems were applied. Then, to solve the model for real-sized applications, a hybrid meta-heuristic algorithm in which genetic algorithm and variable neighborhood search are combined. Using the grouping efficacy measure, we have also compared the performance of the proposed algorithm on a set of 35 test problems from the literature. The results show that the proposed GA-VNS method outperforms the state-of-the-art algorithms.