Analyzing the behaviors of virtual cells (VCs) and traditional manufacturing systems: Ant colony optimization (ACO)-based metamodels
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Publication:1013408
DOI10.1016/j.cor.2008.09.002zbMath1158.90331OpenAlexW2028399867MaRDI QIDQ1013408
Saadettin Erhan Kesen, M. Duran Toksarı, Ertan Güner, Zülal Güngör
Publication date: 17 April 2009
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2008.09.002
Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Queues and service in operations research (90B22)
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A genetic algorithm based heuristic for scheduling of virtual manufacturing cells (VMCs) ⋮ Two bounds for integrating the virtual dynamic cellular manufacturing problem into supply chain management ⋮ Quantile regression metamodeling: toward improved responsiveness in the high-tech electronics manufacturing industry
Cites Work
- Algodesk: An experimental comparison of eight evolutionary heuristics applied to the quadratic assignment problem
- Ant colony optimization for finding the global minimum
- Virtual manufacturing cells: A taxonomy of past research and identification of future research issues
- Coping with the Loss of Pooling Synergy in Cellular Manufacturing Systems
- Parallel Ant Colonies for the quadratic assignment problem
- Simulation-based performance comparison between dynamic cells, classical cells and job shops: a case study
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