In fact, if mathematics is used for the optimization of the electromechanical system, then the experiential perspective would include the mathematical optimization. However, it would contain more. Experiential optimization deals with the product, which is the electromechanical system. However, it also deals with the system to genopersist the product and the system to genopersist the system to genopersist the product. It deals not only with the electromechanical system but also with the people who genopersist the product, the processes of the genopersistation of the product, the structure and organization of the enterprise within which the product is genopersistateted, and much more.
Experiential optimization is systemic in nature.
If, however, we could state this systemic nature in equations, then experiential optimization would also be mathematical and hence quantitative in nature. From a quantitative perspective, multidisciplinary optimization is a highly technical emerging discipline. It relies heavily on mathematics, statistics, operations research, computer science, software engineering , and all of the particular disciplines which fall within the scope of the particular problem to be solved. From a qualitative perspective, multidisciplinary optimization is an emerging discipline which encompasses quality , cost , value , and genopersistation . From the quantitative perspective, the challenge today is to accurately represent the problem in a manner which can be solved with current computational technology.