Abstract
In the previous chapter we showed how BHA works while searching for the solution of the knapsack problem. Now we shall use this problem to illustrate similarities and differences of various approaches including BHA.
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© 2000 Springer Science+Business Media Dordrecht
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Mockus, J. (2000). Explaining Bayesian Heuristic Approach by Example of Knapsack Problem. In: A Set of Examples of Global and Discrete Optimization. Applied Optimization, vol 41. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4671-9_2
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DOI: https://doi.org/10.1007/978-1-4615-4671-9_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7114-4
Online ISBN: 978-1-4615-4671-9
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