The Sequential Parameter Optimization Toolbox
作者： Thomas Bartz-Beielstein , Christian Lasarczyk , Mike Preuss
DOI: 10.1007/978-3-642-02538-9_14
关键词: Toolbox 、 Algorithm 、 Computer science 、 Steep descent 、 Sequential parameter optimization 、 Metamodeling 、 Mathematical optimization 、 Heuristics 、 Continuous optimization 、 Optimization problem 、 Plug-in
摘要: The sequential parameter optimization toolbox (SPOT) is one possible implementation of the SPO framework introduced in Chap. 2. It has been successfully applied to numerous heuristics for practical and theoretical problems. We describe mechanics interfaces employed by SPOT enable users plug their own algorithms. Furthermore, two case studies are presented demonstrate how can be practice, followed a discussion alternative metamodels plugged into it.We conclude with some general guidelines.
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