Abstract: All complex systems of systems (SoS) are guided and driven by multiple, often competing and conflicting, goals and objectives. This chapter discusses uniqueness of multiple goals and objectives to Complex SoS. It then explains how to solve the multiobjective optimization problems using the surrogate worth tradeoff (SWT) method. This method provides the interface between the decision making (DM) and the mathematical model. Then, the chapter provides examples of Complex SoS with multiobjectives. It also addresses the challenges facing participants like stakeholders in modeling and managing the development of ongoing emergent Complex SoS, with a focus on the centrality of state variables and time frame. More specifically, it addresses the critical role that shared (common) states and decisions and the time frame play in modeling the interdependencies and interconnectedness (I-I) among the subsystems that constitute emergent Complex SoS.
Publication Year: 2018
Publication Date: 2018-08-17
Language: en
Type: other
Indexed In: ['crossref']
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot