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The '''Great
In a typical implementation of the GD, the algorithm
A new approximate solution '' S' '', called a neighbour of ''S'', is calculated based on ''S''. The badness of '' S' '', '' b' '', is computed and compared with the tolerance. If '' b' '' is better than tolerance, then the algorithm is recursively restarted with ''S'' : = '' S' '', and ''tolerance'' := ''decay(tolerance)'' where ''decay'' is a function that lowers the tolerance (representing a rise in water levels). If '' b' '' is worse than tolerance, a different neighbour '' S* '' of ''S'' is chosen and the process repeated. If all the neighbours of ''S'' produce
==See also==▼
* [[:de:Gunter Dueck|de:Gunter Dueck]]
==References==
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* Gunter Dueck: "New Optimization Heuristics The Great Deluge Algorithm and the Record-to-Record Travel", Journal of Computational Physics, Volume 104, Issue 1, p. 86-92, 1993
[[Category:Optimization algorithms and methods]]▼
▲==See also==
▲[[Category:Optimization algorithms]]
{{Optimization algorithms}}
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