Improving genetic process mining using Honey Bee algorithm

Process mining refers to the extraction of process models from event logs. This paper presents a new process mining approach based on the combination of Honey Bee algorithm and Genetic Algorithm in which the benefits of Honey Bee algorithm is used where the concept of neighborhood search for a solution emerges from intelligent behavior of honeybee and the diversity of Genetic algorithm to find the global optimum. The new process mining approach presented in this paper is implemented as a plug-in in the process mining framework http://www.processmining.org. Computational experiments show that the process mining approach present in this paper gives a significant improvement over the basic Genetic algorithm.