Optimization of the System of Systems (SoS) Meta-Architecture of Algae Systems for Cost-effective Pollution Remediation

To help safeguard the environment and its inhabitant organisms, it is essential to incorporate algal systems into the remediation of nutrient pollution at the initial nutrient or pollution source by using the systems to grow algae and cyanobacteria. To maximize output and cut costs, it is crucial to understand the algal system of systems (A-SoS) with a focus on the meta-architecture of the photobioreactor while comparing system attributes to an open algal system. Algal systems are complex systems, and for qualitative reasons, it is important to comprehend how the pieces behave and how they interact to produce the behavior of the whole. For a photobioreactor focusing on the interactions of the parts together rather than their performance accessed separately can help to manage the system efficiently and optimally. These interfaces are collectively monitored by a cyber-physical system (CPS) in which the mechanism is controlled by computer algorithms called the system of systems (SoS) explorer. In this chapter, using the Engineering Management and Systems Engineering’s SoS Explorer tool the systems and characteristics of the algal system were accessed, noting the characteristics, capability, and key performance attributes. These factors further aided in achieving the optimal performance using the genetic algorithm coherently with the fuzzy assessor as a fitness function to obtain the best fit of the system to recognize improvements for future performances.