Neural computing: theory and practice
Neural computing: theory and practice
Artificial neural systems: foundations, paradigms, applications, and implementations
Artificial neural systems: foundations, paradigms, applications, and implementations
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
A genetic algorithm approach to the machine-component grouping problem with multiple objectives
Computers and Industrial Engineering
Connectionist models for part-family classifications
Computers and Industrial Engineering
A genetic-algorithm-based heuristic for the GT cell formation problem
Computers and Industrial Engineering
An improved neural network for manufacturing cell formation
Decision Support Systems
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
Extending the Kohonen self-organizing map networks for clustering analysis
Computational Statistics & Data Analysis
Generalized part family formation through fuzzy self-organizing feature map neural network
Computers and Industrial Engineering
Manufacturing cell formation using a new self-organizing neural network
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Computers and Industrial Engineering
A neuro-tabu search heuristic for the flow shop scheduling problem
Computers and Operations Research
An evolutionary algorithm for manufacturing cell formation
Computers and Industrial Engineering
A new branch-&-bound-enhanced genetic algorithm for the manufacturing cell formation problem
Computers and Operations Research
Part family formation through fuzzy ART2 neural network
Decision Support Systems
A hybrid grouping genetic algorithm for the cell formation problem
Computers and Operations Research
A genetic algorithm for integrated cell formation and layout decisions
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
The modified fuzzy art and a two-stage clustering approach to cell design
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A multi-objective scatter search for a dynamic cell formation problem
Computers and Operations Research
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
A Multi-objective Genetic Algorithm for Optimization of Cellular Manufacturing System
ICCET '09 Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 01
Automation, Production Systems, and Computer-Integrated Manufacturing
Automation, Production Systems, and Computer-Integrated Manufacturing
Manufacturing cell formation with production data using neural networks
Computers and Industrial Engineering
Self-organizing map network as an interactive clustering tool - An application to group technology
Decision Support Systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A simulation-based evolutionary multiobjective approach to manufacturing cell formation
Computers and Industrial Engineering
Team formation based on group technology: A hybrid grouping genetic algorithm approach
Computers and Operations Research
Computers and Industrial Engineering
Genetic algorithm and large neighbourhood search to solve the cell formation problem
Expert Systems with Applications: An International Journal
Group technology based adaptive cell formation using predator-prey genetic algorithm
Applied Soft Computing
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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This paper presents a quantitative review of the influence and the impact of the two major soft computing approaches, Artificial Neural Network and Genetic Algorithm on cell formation methods of the design of Cellular Manufacturing System (CMS). An in-depth analysis has been carried out to identify the research trend, for the last two decades that captures the chronological progress and continuous improvement in the design of CMS. The in-depth quantitative analysis helped to identify the trend of research, improvements over the years and the capability of the soft-computing approaches to handle complex data-sets with different objective functions. The comparative study of the computational time, number of cells formed and the clustering efficiency obtained, helped to figure out the success rates of each approach and the progress achieved since early 1990s till recent times.