In practical situations, complex systems are often composed of subsystems or subproblems with single or multiple objectives. These subsystems focus on different aspects of the overall system, but they often have strong interactions with each other and they are usually not sequentially ordered or obviously decomposable. Thus, the individual solutions of subproblems do not generally induce a solution for the overall system. Here, we strive to identify “re-composition architectures” of such “interwoven” systems. Our intention is to connect the subsystems adequately, analyze the resulting performance, model/solve the overall system, and improve the overall solution instead of just solving each subsystem separately. We review recent developments in this field and discuss modeling and solution paradigms in a general and unified framework using the example of an interwoven system consisting of two interacting subsystems.

中文翻译：

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交织系统的多目标优化

在实际情况下，复杂的系统通常由具有单个或多个目标的子系统或子问题组成。这些子系统专注于整个系统的不同方面，但是它们通常彼此之间具有很强的交互作用，并且通常没有顺序排列或明显可分解的。因此，子问题的单个解决方案通常不会为整个系统带来解决方案。在这里，我们努力确定此类“交织”系统的“重组架构”。我们的目的是充分连接子系统，分析结果性能，为整个系统建模/求解，并改善总体解决方案，而不仅仅是单独解决每个子系统。