The Indicator-Based Evolutionary Algorithm for the Digital Twin
Gregor Papa, Peter Korosec
Journal of Electronic Systems, Vol. 8, No. 4, 2018.
DOI: 
Link: http://www.dline.info/jes/fulltext/v8n4/jesv8n4_3.pdf
Abstract:
The world has been moving more smarter for which new technologies play crucial role. The transition from the old state in industry with the digital twins is a major development. In this work we introduced an initial step to upgrade simulations to digital twins to enhance the productivity even further. The multi-objective optimization approach is important
in achieving high efficiency of production scheduling. The goal of the optimization is to find a production schedule that satisfies different, contradictory production constraints. We take a simulation tool that was used by a memetic version of the
Indicator-Based Evolutionary Algorithm with customized reproduction operators and local search procedures to find a set
of feasible, non-dominated solutions and analyse the required steps to achieve a digital twin. It is clear that with a multiobjective
approach that is able to find high-quality solutions and flexibility of many \equalâ€ solutions, the digital twin
becomes a powerful tool for a decision maker.