Abstract
The main objective of BHA is to increase the efficiency of heuristics by including them into the Bayesian framework. A natural criterion of algorithm efficiency is the results of real life problems [30, 44, 115, 63]. Needless to say, one should use any available mathematical justification, too. An important condition is to regard the theoretical and experimental results in right proportions.
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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). Mathematical Justification of the Bayesian Heuristics Approach. 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_3
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DOI: https://doi.org/10.1007/978-1-4757-2627-5_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4767-3
Online ISBN: 978-1-4757-2627-5
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