J-POP: Japanese Puzzles as Optimization Problems
Huw Lloyd, Matthew Crossley, Mark Sinclair, Martyn Amos · IEEE Transactions on Games · 2021
Japanese puzzle games such asSudokuandFutoshikiare familiar recreational pursuits, but they also present an interesting computational challenge. A number of algorithms exist for the automated solution of such puzzles, but, until now, these have not been compared in a unified way. Here, we present an integrated framework for the study of combinatorial black-box optimization, using Japanese puzzles as the test-bed. Importantly, our platform is extendable, allowing for the easy addition of both puzzles and solvers. We compare the performance of a number of optimization algorithms on five different puzzle games, and identify a subset of puzzle instances that could provide a challenging benchmark set for future algorithms.