Process Mining Based on Improved Hybrid Genetic Algorithm

摘要

Facing with the typical problems on the business process mining genetic algorithm, a process mining approach based on hybrid genetic algorithm is proposed. The causal matrix is brought as the internal representation of individuals of the improved algorithm, and the reasonable fitness functions is proposed. To verify the performance, experiments are conducted in the process mining framework. The result is expressed in terms of Petri net.