A Combination of the evolutionary tree miner and simulated annealing

Afina Lina Nurlaili, R. Sarno
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引用次数: 2

Abstract

In recent years, process mining is important to discover process model from event logs; however the existing methods have not achieved good in overall fitness. In this context, this paper proposes a combination of the Evolutionary Tree Miner (ETM) and Simulated Annealing (SA). The ETM aims to reduce randomness of population so that it can improved the quality of individuals. SA aims to increase overall fitness in the population. The results of the proposed method which was compared to other approaches show that the proposes method had better in overall fitness and better quality of individuals.
进化树挖掘与模拟退火的结合
过程挖掘是近年来从事件日志中发现过程模型的重要方法;但是现有的方法在整体适应度上都没有达到很好的效果。在此背景下,本文提出了进化树挖掘算法(ETM)和模拟退火算法(SA)的结合。ETM旨在减少人口的随机性,从而提高个体的素质。SA旨在提高人口的整体健康水平。结果表明,该方法具有较好的整体适应度和个体质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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