CF-GGA: A grouping genetic algorithm for the cell formation problem

DOI10.1080/00207540110068781zbMath1114.90344OpenAlexW2077688596MaRDI QIDQ4443328

Evelyn C. Brown, Robert T. Sumichrast

Publication date: 11 January 2004

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540110068781

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (18)

Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing ⋮ An efficient exact model for the cell formation problem with a variable number of production cells ⋮ A hybrid grouping genetic algorithm for the cell formation problem ⋮ A GROUPING GENETIC ALGORITHM FOR THE MULTIPLE TRAVELING SALESPERSON PROBLEM ⋮ A multi-objective linear programming model for scheduling part families and designing a group layout in cellular manufacturing systems ⋮ Impact of the replacement heuristic in a grouping genetic algorithm. ⋮ A survey of repair methods used as constraint handling techniques in evolutionary algorithms ⋮ Tabu search approach based on a similarity coefficient for cell formation in generalized group technology ⋮ A particle swarm optimizer for grouping problems ⋮ A comparative study of two hybrid grouping evolutionary techniques for the capacitated P-median problem ⋮ Grouping evolution strategies: an effective approach for grouping problems ⋮ Team formation based on group technology: a hybrid grouping genetic algorithm approach ⋮ An ant colony optimization metaheuristic for machine-part cell formation problems ⋮ Heuristic rules-based logic cell formation algorithm ⋮ A simulated annealing method for solving a new mathematical model of a multi-criteria cell formation problem with capital constraints ⋮ CF-GGA ⋮ Minimising material handling cost in cell formation with alternative processing routes by grouping genetic algorithm ⋮ Homogeneous genetic algorithms

Uses Software

• Genocop

Cites Work

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• A genetic algorithm for flowshop sequencing
• A one-step tabu search algorithm for manufacturing cell design
• An ideal seed non-hierarchical clustering algorithm for cellular manufacturing
• ZODIAC—an algorithm for concurrent formation of part-families and machine-cells
• Application of simulated annealing to a linear model forthe formulation of machine cells ingroup technology
• Cell formation in group technology: A combinatorial search approach
• Multi-objective machine-part cell formation through parallel simulated annealing
• A clustering algorithm for machine cell formation in group technology using minimum spanning trees
• Part-family formation for cellular manufacturing: A case study at Harnischfeger
• Soft-computing-based approaches to the group technology problem: A state-of-the-art review
• Problem Decomposition and Data Reorganization by a Clustering Technique

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