This paper by Surynek (2026) delivers a 15% reduction in printing plate usage over the single-strategy baseline by parallelising the CEGAR-SEQ algorithm across a portfolio of placement strategies on modern multi-core CPUs. It demonstrates AI planning at industrial scale, outperforming #10's pipeline benchmark in immediate practical impact. The portfolio approach consistently cuts waste and time, showing how algorithmic diversity can substitute for hardware scaling.
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