با سلام این مقاله شامل 9 صفحه متن لاتین و 21 صفحه متن ترجمه آن است ترجمه بسیار عالی انجام شده است قسمتی از متن لاتین این مقاله:We present a multi-objective genetic algorithm for mining highly predictive and comprehensible classification rules from large dat- abases. We emphasize predictive accuracy and comprehensibility of the rules. However, accuracy and comprehensibility of the rules often conflict with each other. This makes it an optimization problem that is very difficult to solve efficiently. We have proposed a multi-ob- jective evolutionary algorithm called improved niched Pareto genetic algorithm (INPGA) for this purpose. We have compared the rule generation by INPGA with that by simple genetic algorithm (SGA) and basic niched Pareto genetic algorithm (NPGA). The experimen- tal result confirms that our rule generation has a clear edge over SGA and NPGA. ترجمه: شما میتوانید با کلیک روی لینک زیر ترجمه را مشاهده فرمایید http://uupload.ir/files/3ece_untitled1_001.jpg