Multiobjective optimization for interwoven systems
Multiobjective optimization for interwoven systems
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DOI：
10.1002/mcda.1598
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发表时间：
2017
影响因子：
2
通讯作者：
K. Klamroth;Sanaz Mostaghim;B. Naujoks;S. Poles;R. Purshouse;G. Rudolph;Stefan Ruzika;Serpil Sayın;M. Wiecek;Xin Yao
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作者：
K. Klamroth;Sanaz Mostaghim;B. Naujoks;S. Poles;R. Purshouse;G. Rudolph;Stefan Ruzika;Serpil Sayın;M. Wiecek;Xin Yao
在实际情况中，复杂系统通常由具有单个或多个目标的子系统或子问题组成。这些子系统关注于整个系统的不同方面，但是它们之间经常有很强的相互作用，并且它们通常不是顺序排序的，也不是明显可分解的。因此，子问题的单个解通常不能推导出整个系统的解。在这里，我们努力识别这种“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，建模/解决整个系统，并改进整个解决方案，而不是单独解决每个子系统。我们回顾了该领域的最新发展，并使用由两个相互作用的子系统组成的交织系统的示例，在一般和统一的框架中讨论建模和解决方案范例。
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.