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CEC
2005
IEEE

Sequential parameter optimization

13 years 9 months ago
Sequential parameter optimization
Abstract- Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate its flexibility, three scenarios are discussed: (1) no experience how to choose the parameter setting of an algorithm is available, (2) a comparison with other algorithms is needed, and (3) an optimization algorithm has to be applied effectively and efficiently to a complex real-world optimization problem. Although sequential parameter optimization relies on enhanced statistical techniques such as design and analysis of computer experiments, it can be performed algorithmically and requires basically the specification of the relevant algorithm’s parameters.
Thomas Bartz-Beielstein, Christian Lasarczyk, Mike
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where CEC
Authors Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss
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