SPOT, the Sequential Parameter Optimization Toolbox, is a set of tools for model-based optimization and tuning of algorithms. It includes surrogate models, optimizers, and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
Version 2.30 of the R package SPOT will be published in the corresponding CRAN directory,see https://cran.r-project.org/package=SPOT