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Assembly of puzzles using a genetic algorithm

机译:使用遗传算法组装拼图

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In this paper, we proposed a method for solving the rectangle piece jigsaw puzzle assembly problem. A shape of a piece is a rectangle, and a picture of a puzzle is only painted in black and white, i.e., puzzles are processed as binary images. The assembly of the puzzle is performed only using information of the pixel value on the border line of the pieces. This problem cannot be solved by the simple local piece matching because there are many similar pieces. Global matching is required. The proposed method utilizes a genetic algorithm (GA) to search the optimum piece arrangement because GA has the ability to find the global solution in the large optimization space. The proposed method correctly assembled all pieces in the 8 × 8-piece puzzle.
机译:本文提出了一种解决矩形拼图玩具拼装问题的方法。一块的形状是一个矩形,拼图的图片仅用黑白绘制,即拼图被处理为二进制图像。拼图的组装仅使用棋子的边界线上的像素值的信息来执行。由于存在许多相似的零件,因此无法通过简单的局部零件匹配来解决此问题。必须进行全局匹配。由于遗传算法具有在较大的优化空间中找到全局解的能力,因此该方法利用遗传算法(GA)搜索最优算法。所提出的方法将8×8拼图中的所有拼图正确组装。

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