J-POP: Japanese Puzzles as Optimization Problems
IEEE Transactions on Games（2022）
摘要
Japanese puzzle games such as
Sudoku
and
Futoshiki
are 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.
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关键词
Ant colony optimization,genetic algorithms,puzzle games,simulated annealing
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