Paper ID: 2207.01693

Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management

Timo Müller, Benjamin Maschler, Daniel Dittler, Nasser Jazdi, Michael Weyrich

Many decision-making approaches rely on the exploration of solution spaces with regards to specified criteria. However, in complex environments, brute-force exploration strategies are usually not feasible. As an alternative, we propose the combination of an exploration task's vertical sub-division into layers representing different sequentially interdependent sub-problems of the paramount problem and a horizontal sub-division into self-sustained solution sub-spaces. In this paper, we present a universal methodology for the intelligent exploration of solution spaces and derive a use-case specific example from the field of reconfiguration management in industry 4.0.

Submitted: Jul 4, 2022