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A Genetic Algorithm-Based Solver for Small-Scale Jigsaw Puzzles
In this paper, we present a genetic algorithm-based puzzle solver, which is mainly used to solve small-scale puzzle problems. We introduce a new measurement function that improves its accuracy by normalizing the Mahalanobis distance and the Euclidean distance between two puzzle pieces. By calculatin...
Autores principales: | Guo, Wenjing, Wei, Wenhong, Zhang, Yuhui, Fu, Anbing |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354823/ http://dx.doi.org/10.1007/978-3-030-53956-6_32 |
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