Abstract
We consider visualization as a decision optimization tool in problems where the model and/or the objectives are not well defined. Four specific problems representing different degrees of determination are investigated.
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© 1997 Springer Science+Business Media Dordrecht
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Mockus, J., Eddy, W., Mockus, A., Mockus, L., Reklaitis, G. (1997). Dynamic Visualization in Modeling and Optimization of Ill Defined Problems: Case Studies and Generalizations. In: Bayesian Heuristic Approach to Discrete and Global Optimization. Nonconvex Optimization and Its Applications, vol 17. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2627-5_21
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DOI: https://doi.org/10.1007/978-1-4757-2627-5_21
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4767-3
Online ISBN: 978-1-4757-2627-5
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