A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles: Final Report
نویسندگان
چکیده
For this project, I implemented the genetic algorithm-based jigsaw puzzle solver described in “A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles” by Sholomon et al [1]. This method involves producing a “child” solution from two “parent” solutions by detecting, extracting, and combining correctly assembled puzzle pieces. The solver developed by the paper’s team is able to accurately solve puzzles of up to 22,834 pieces in a reasonable time. My solver is not able to quickly solve puzzles of such size, but is able to solve smaller puzzles with high accuracy.
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