A hybrid grouping genetic algorithm for the cell formation problem

DOI10.1016/j.cor.2005.08.010zbMath1189.90210OpenAlexW2028114871MaRDI QIDQ868145

Evelyn C. Brown, Tabitha L. James, Kellie B. Keeling

Publication date: 19 February 2007

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2005.08.010

zbMATH Keywords

heuristicsgrouping genetic algorithmmachine-part cell formation

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

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Uses Software

• CF-GGA

Cites Work

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• Grouping of parts and components in flexible manufacturing systems
• A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems
• A one-step tabu search algorithm for manufacturing cell design
• A close neighbour algorithm for designing cellular manufacturing systems
• An ideal seed non-hierarchical clustering algorithm for cellular manufacturing
• A method for finding minimal bottle-neck cells for grouping part-machine families†
• ZODIAC—an algorithm for concurrent formation of part-families and machine-cells
• The threshold value of a quality index for formation of cellular manufacturing systems
• Application of simulated annealing to a linear model forthe formulation of machine cells ingroup technology
• Grouping efficiency measures in cellular manufacturing: A survey and critical review
• A TSP-based heuristic for forming machine groups and part families
• A clustering algorithm for machine cell formation in group technology using minimum spanning trees
• CF-GGA: A grouping genetic algorithm for the cell formation problem
• Problem Decomposition and Data Reorganization by a Clustering Technique
• Measures of grouping efficiency in cellular manufacturing systems

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