A parallel genetic algorithm for dynamic cell formation in cellular manufacturing systems
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Publication:3605445
DOI10.1080/00207540701441962zbMath1154.90540OpenAlexW2125030380WikidataQ57912620 ScholiaQ57912620MaRDI QIDQ3605445
Fantahun M. Defersha, Mingyuan Chen
Publication date: 24 February 2009
Published in: International Journal of Production Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207540701441962
Learning and adaptive systems in artificial intelligence (68T05) Linear programming (90C05) Parallel algorithms in computer science (68W10)
Related Items (3)
Dynamic cellular manufacturing system design considering alternative routing and part operation tradeoff using simulated annealing based genetic algorithm ⋮ Parallel computational optimization in operations research: a new integrative framework, literature review and research directions ⋮ Development of a comprehensive model and BFO algorithm for a dynamic cellular manufacturing system
Cites Work
- A mathematical programming model for system reconfiguration in a dynamic cellular manufacturing environment
- Manufacturing cell formation using similarity coefficients and a parallel genetic TSP algorithm: Formulation and comparison
- Forming part families by using genetic algorithm and designing machine cells under demand changes
- Solving a dynamic cell formation problem using metaheuristics
- The Dynamics of Plant Layout
- Cellular manufacturing at 46 user plants: Implementation experiences and performance improvements
- A review of the modern approaches to multi-criteria cell design
- Machine cell formation using a mathematical model and a genetic-algorithm-based heuristic
- Application of genetic algorithms in production and operations management: a review
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