Using genetic algorithm to solve dynamic cell formation problem

DOI10.1016/j.apm.2009.07.019zbMath1185.90061OpenAlexW2049286887MaRDI QIDQ969350

S. M. J. Mirzapour Al-E-Hashem, F. Deljoo, V. Deljoo, Mir-Bahador-Qoli Aryanezhad

Publication date: 6 May 2010

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2009.07.019

zbMATH Keywords

genetic algorithmdynamic cell formationmeta heuristics

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Production models (90B30)

Related Items (3)

Solving a group layout design model of a dynamic cellular manufacturing system with alternative process routings, lot splitting and flexible reconfiguration by simulated annealing ⋮ A new multi-objective mathematical model for dynamic cell formation under demand and cost uncertainty considering social criteria ⋮ A SIMULATED ANNEALING FOR INTRA-CELL LAYOUT DESIGN OF DYNAMIC CELLULAR MANUFACTURING SYSTEMS WITH ROUTE SELECTION, PURCHASING MACHINES AND CELL RECONFIGURATION

Cites Work

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• A multi-objective scatter search for a dynamic cell formation problem
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• A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system
• Solving a dynamic cell formation problem using metaheuristics
• Cellular manufacturing systems design with routing flexibility, machine procurement, production planning and dynamic system reconfiguration
• A new solution for a dynamic cell formation problem with alternative routing and machine costs using simulated annealing

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