al3 vs al-default-1600D

Overview page

Empirical cumulative distribution functions (ECDFs) per function group

Separable functions with 0n+1 constraints in 5-D

Separable functions with 0n+3 constraints in 5-D

Separable functions with 0n+9 constraints in 5-D

Separable functions with 3ndiv4+9 constraints in 5-D

Separable functions with 6ndiv4+9 constraints in 5-D

Separable functions with 9ndiv2+9 constraints in 5-D

Ill-conditioned functions with 0n+1 constraints in 5-D

Ill-conditioned functions with 0n+3 constraints in 5-D

Ill-conditioned functions with 0n+9 constraints in 5-D

Ill-conditioned functions with 3ndiv4+9 constraints in 5-D

Ill-conditioned functions with 6ndiv4+9 constraints in 5-D

Ill-conditioned functions with 9ndiv2+9 constraints in 5-D

Multi-modal functions with 0n+1 constraints in 5-D

Multi-modal functions with 0n+3 constraints in 5-D

Multi-modal functions with 0n+9 constraints in 5-D

Multi-modal functions with 3ndiv4+9 constraints in 5-D

Multi-modal functions with 6ndiv4+9 constraints in 5-D

Multi-modal functions with 9ndiv2+9 constraints in 5-D

All functions with 0n+1 constraints in 5-D

All functions with 0n+3 constraints in 5-D

All functions with 0n+9 constraints in 5-D

All functions with 3ndiv4+9 constraints in 5-D

All functions with 6ndiv4+9 constraints in 5-D

All functions with 9ndiv2+9 constraints in 5-D

Separable functions with 0n+1 constraints in 20-D

Separable functions with 0n+3 constraints in 20-D

Separable functions with 0n+9 constraints in 20-D

Separable functions with 3ndiv4+9 constraints in 20-D

Separable functions with 6ndiv4+9 constraints in 20-D

Separable functions with 9ndiv2+9 constraints in 20-D

Ill-conditioned functions with 0n+1 constraints in 20-D

Ill-conditioned functions with 0n+3 constraints in 20-D

Ill-conditioned functions with 0n+9 constraints in 20-D

Ill-conditioned functions with 3ndiv4+9 constraints in 20-D

Ill-conditioned functions with 6ndiv4+9 constraints in 20-D

Ill-conditioned functions with 9ndiv2+9 constraints in 20-D

Multi-modal functions with 0n+1 constraints in 20-D

Multi-modal functions with 0n+3 constraints in 20-D

Multi-modal functions with 0n+9 constraints in 20-D

Multi-modal functions with 3ndiv4+9 constraints in 20-D

Multi-modal functions with 6ndiv4+9 constraints in 20-D

Multi-modal functions with 9ndiv2+9 constraints in 20-D

All functions with 0n+1 constraints in 20-D

All functions with 0n+3 constraints in 20-D

All functions with 0n+9 constraints in 20-D

All functions with 3ndiv4+9 constraints in 20-D

All functions with 6ndiv4+9 constraints in 20-D

All functions with 9ndiv2+9 constraints in 20-D

Empirical cumulative distributions (ECDF) of run lengths and speed-up ratios in 5-D (left) and 20-D (right). Left sub-columns: ECDF of the number of evaluations divided by dimension D (evals/D) to reach a target value f_opt+∆f with ∆f =10^k, where k is given by the first value in the legend, for algorithmA (°) and algorithmB (♦) . Right sub-columns: ECDF of evals ratios of algorithmA divided by algorithmB for fixed target precision values 10^k with k given in the legend; all trial pairs for each function. Pairs where both trials failed are disregarded, pairs where one trial failed are visible in the limits being > 0 or < 1. The legend also indicates, after the colon, the number of functions that were solved in at least one trial (algorithmA first).