Optimizing Business Process Designs with a Multiple Population Genetic Algorithm

Abstract

This article discusses a multi-objective business process optimization. The authors present an approach for an evolutionary combinatorial multi-objective optimization of business process designs with a specified genetic algorithm based on multiple populations. The results show that the optimization approach is capable of producing a satisfactory number of optimized designs alternatives.