A Case Study of Using Simulation and Soft Computing Techniques for Optimisation of Manufacturing Systems

A Case Study of Using Simulation and Soft Computing Techniques for Optimisation of Manufacturing Systems

[1]  Larry Bull,et al.  On Model-Based Evolutionary Computation , 1999, Soft Comput..

[2]  Amos H. C. Ng,et al.  A Surrogate-Assisted Steady-State Evolution Strategy with a New Offspring Selection Procedure , 2007 .

[3]  Bernhard Sendhoff,et al.  A framework for evolutionary optimization with approximate fitness functions , 2002, IEEE Trans. Evol. Comput..

[4]  Kishan G. Mehrotra,et al.  Elements of artificial neural networks , 1996 .

[5]  H. Madsen,et al.  A fast Evolutionary-based Meta-Modelling Approach for the Calibration of a Rainfall-Runoff Model , 2004 .

[6]  Kok Wai Wong,et al.  Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering Design Problems , 2005 .

[7]  Marcus Andersson,et al.  Web Services for Metamodel-Assisted Parallel Simulation Optimization , 2007, IMECS.

[8]  Bu-Sung Lee,et al.  Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty , 2005, GECCO '05.

[9]  Andreas Zell,et al.  Evolution strategies assisted by Gaussian processes with improved preselection criterion , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[10]  Fred W. Glover,et al.  New advances and applications for marrying simulation and optimization , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

[11]  Hans-Paul Schwefel,et al.  Evolution strategies – A comprehensive introduction , 2002, Natural Computing.

[12]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .