A short report written for my COMP1827 coursework, not a published paper. It writes up the Genplan project: an evolutionary algorithm with a reinforcement-learning bandit choosing how each run is seeded, compared against a plain EA baseline over 500 paired runs. A later review found that comparison confounded (the winning seeder starts from the ground-truth layout that the fitness also scores), so the headline result is under review.
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