swaits
f17c960ec7
The reference baseline and the spec's recommended starting example. Per iteration it asks the initializer for `batch_size` decisions, evaluates each, and accumulates them. At the end it returns the full population plus the Pareto front and (if single-objective) the best feasible candidate. `generations` equals `iterations`; `evaluations` equals `iterations * batch_size` (spec §12.1). Includes a tiny single-objective sphere test problem under `tests_support` that later algorithm tests will reuse.