论文标题
工业重新配置管理为解决方案空间的智能探索
Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management
论文作者
论文摘要
许多决策方法依赖于针对特定标准的解决方案空间的探索。但是，在复杂的环境中，蛮力探索策略通常不可行。作为替代方案，我们提出了探索任务的垂直细分组合成层，该层代表了派拉蒙问题的不同顺序相互依存的子问题，以及一个水平sub-division subtional sub-division to subsed subissaust subly Solution Subpaces。在本文中，我们提出了一种通用方法，用于智能探索解决方案空间，并从行业4.0的重新配置管理领域得出一个用例的特定示例。
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.
