Benchmark
The recorded outcome of one benchmark cell: one solver configuration run once (one macro-replication) on one problem under the experiment's replication budget.
Objective values are reported on the problem's natural (model) scale except for the penalized objective, which is the solver's internal minimization-oriented value (maximization problems are negated internally). The gap is oriented so that larger is worse and the reference (or the experiment-best for GapType.BEST_FOUND) gaps to zero; a negative gap means the run beat a best-known reference.
Parameters
the owning experiment's name
the problem case's name
the solver case's label
the 1-based macro-replication number
the unique cell label ("problem_solver_rN"); also the solver's name
the cell's lifecycle outcome (completed, failed, stopped before start)
the common starting point the cell's solver was given
the best design point the solver found (the problem's bad solution when the cell failed — see the isBestValid flag)
the estimated objective value at the best point (model scale)
the solver-internal penalized objective at the best point
false when the best solution is a placeholder from a failed or never-started cell
whether the best point satisfies the problem's input ranges and deterministic constraints
the total response-constraint violation at the best point (zero when response-feasible or the problem has no response constraints)
the solver's cumulative oracle-call count
the solver's cumulative requested replications — the actual budget consumption used for normalization
the solver's iteration count, when the solver ran
the solver's execution time in milliseconds, when tracked
the optimality gap of the best objective against the problem's gap basis
the basis the gap was computed against
the failure cause when the cell failed; null otherwise