The phrase "advanced complexity" is correct and usable in written English.
It can be used to describe a situation, system, or concept that has a high level of intricacy or difficulty.
Example: "The advanced complexity of the software architecture requires a deep understanding of both the underlying technology and the user requirements."
Alternatives: "high complexity" or "sophisticated intricacy".
Yet, when EFL/ESL learners improve their English proficiency and progress toward upper-intermediate and advanced levels, complexity and lexical variety will come into play and gain the currency.
Models are a reflection of simplified and idealized real world products, processes, constructions or events, because the world around us is too complex, and the state of the art is not so advanced to handle complexity.
In recent advanced PLM modeling, complexity of product is handled by knowledge driven self adaptive generic model while multidisciplinary conceptual modeling applies higher abstraction methods from systems engineering (SE).
Adding to the significance of behavior for the emergence of social complexity, advanced brains appear to have evolved a specialized neural system for this function called the mirror neuron system [47].
The second, advanced level adds complexity to event finding operations by allowing greater granularity through more possible input and output parameters.
Vertically perforated clay blocks with an excellent ratio of load-bearing capacity to thermal properties are highly sophisticated products, which due to their higher complexity require advanced design concepts for a reliable prediction of performance characteristics.
Panics in the industrialized societies of the 19th and 20th centuries, however, have reflected the increasing complexity of advanced economies and the changed character of their instability.
Network dynamics are important for understanding the complexity of advanced and knowledge-based societies.
More advanced textbook treatments of complexity theory include (Papadimitriou 1994), (Du and Ko 2000), (Hemaspaandra and Ogihara 2002), (Arora and Barak 2009), and (Goldreich 2010).
