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GECCO
2004
Springer

Comparing Search Algorithms for the Temperature Inversion Problem

13 years 9 months ago
Comparing Search Algorithms for the Temperature Inversion Problem
Several inverse problems exist in the atmospheric sciences that are computationally costly when using traditional gradient based methods. Unfortunately, many standard evolutionary algorithms do not perform well on these problems. This paper investigates why the temperature inversion problem is so difficult for heuristic search. We show that algorithms imposing smoothness constraints find more competitive solutions. Additionally, a new algorithm is presented that rapidly finds approximate solutions.
Monte Lunacek, L. Darrell Whitley, Philip Gabriel,
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where GECCO
Authors Monte Lunacek, L. Darrell Whitley, Philip Gabriel, Graeme Stephens
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