Analyzing the behaviors of virtual cells (VCs) and traditional manufacturing systems: Ant colony optimization (ACO)-based metamodels

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

zbMATH Keywords

simulationant colony optimizationmetamodelsvirtual manufacturing cells

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Queues and service in operations research (90B22)

Related Items (3)

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

This page was built for publication: Analyzing the behaviors of virtual cells (VCs) and traditional manufacturing systems: Ant colony optimization (ACO)-based metamodels