spotDemo01TreeBranin     Parameter optimization of the Branin-Function by means of the tree meta model
spotDemo02RandomForestBranin     Parameter optimization of the Branin-Function by means of the Random Forest meta model
spotDemo03LmBranin     Parameter optimization of the Branin-Function by means of the linear model
spotDemo04MlegpBranin     Parameter optimization of the Branin-Function by means of the Mlegp meta model
spotDemo05TgpBranin     Parameter optimization of the Branin-Function by means of the Tgp meta model
spotDemo06TreeSann     Parameter optimization of R's Simulated Annealing Algorithm (SANN) trying to find the optimum of a Branin-Function by means of a tree meta model
spotDemo07RandomForestSann     Parameter optimization of R's Simulated Annealing Algorithm (SANN) trying to find the optimum of a Branin-Function by means of a random forest meta model
spotDemo08LmSann     Parameter optimization of R's Simulated Annealing Algorithm (SANN) trying to find the optimum of a Branin-Function by means of a linear model
spotDemo09MlegpSann     Parameter optimization of R's Simulated Annealing Algorithm (SANN) trying to find the optimum of a Branin-Function by means of a Mlegp meta model
spotDemo10TgpSann     Parameter optimization of R's Simulated Annealing Algorithm (SANN) trying to find the optimum of a Branin-Function by means of a Tgp meta model
spotDemo11Java      Parameter optimization of a (1+1)-ES implemented in JAVA
spotDemo12Sann      Parameter optimization of R's Simulated Annealing Algorithm (SANN) implemented in R
spotDemo14LmOptimSann      Parameter optimization of R's Simulated Annealing Algorithm (SANN) implemented in R
spotDemo16EsBranin  Demo for optimization with Evolutionary Strategy
