ALGINEER: Algorithmic design of complex systems

The design of complex systems has been the forte of and therefore limited to engineers while algorithms have only aided in the representation and optimization of the design options. This human-centric approach has several limitations that leads to sub-optimal design results. In this work, a novel algorithmic design framework ALGINEER is proposed with a concept-proof implementation that overcomes the limitations. ALGINEER formalizes the design processes to isolate the design process from the design problem. It implements genetic algorithms and machine learning to explore the complete solution space, achieve trade-off among many design objectives, and demonstrate design behavior and learning akin to engineers. It is modular, scalable and empowers engineers to concentrate more on problem formulation. The work also suggests future research possibilities towards extending ALGINEER's abilities.

Automated summary

ALGINEER is a novel algorithmic design framework that overcomes the limitations of traditional human-centered design methods. It utilizes genetic algorithms and machine learning to explore solution spaces and achieve trade-offs among multiple design objectives, demonstrating design behavior and learning akin to engineers.