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Abstract: We instance our experience with six public-domain global optimization software products and report comparative computational results obtained on a set of eleven test problems. The techniques used by the software under study include integral global optimization, genetic algorithms, simulated annealing, clustering, random search, continuation, Bayesian, tunneling, and multi-level methods. The test set contains practical problems: least median of squares regression, protein folding, and... (Update)
Context of citations to this paper: More
...cantly outperform homegrown implementations of the simplex algorithm. The answer is not so clear for local search heuristics. A review [11] of six existing black box optimization packages describes generally disappointing results. Indeed, one line of theoretical research has...
.... studies of different types of non derivative methods could be found in for instance Borup [6] Hajela [31] Jansson [42] and Mongeau [56]. In this thesis, genetic algorithms and the Complex method are applied. Genetic algorithms because they are known to be most robust in...
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BibTeX entry: (Update)
M. Mongeau, H. Karsenty, V. Rouz'e, and J.-B. Hiriart-Urruty. Comparison of publicdomain software for black-box global optimization. Technical Report LAO 98-01, Universit'e Paul Sabatier, Toulouse, France, 1998. http://citeseer.ist.psu.edu/article/mongeau98comparison.html More
@article{ mongeau98comparison,
author = "M. Mongeau and H. Karsenty and V. Rouz{\'e} and J.-B. Hiriart-Urruty",
title = "Comparison of public-domain software for black-box global optimization",
journal = "Optimization Methods and Software",
volume = "13",
number = "3",
pages = "203--226",
year = "2000",
url = "citeseer.ist.psu.edu/article/mongeau98comparison.html" }
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