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Boolean factoring with multi-objective goals

机译:布尔定向多目标目标

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This paper introduces a new algorithm for Boolean factoring. The proposed approach is based on a novel synthesis paradigm, functional composition, which performs synthesis by associating simpler sub-solutions with minimum costs. The method constructively controls characteristics of final and intermediate functions, allowing the adoption of secondary criteria other than the number of literals for optimization. This multi-objective factoring algorithm presents interesting features and advantages when compared to previous works.
机译:本文介绍了一种新的布尔分解算法。所提出的方法基于一种新的合成范例,功能组合物,其通过将更简单的子解决方案与最低成本相关联来执行合成。该方法建设性地控制最终功能和中间功能的特征,允许采用除了用于优化的文字数量之外的次要标准。与以前的作品相比,这种多目标分子算法呈现了有趣的功能和优势。

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