Abstract
This work presents A novel algorithm, the Component Search-Two Steps Optimal algorithm (CS-TSO), which combines the Component Search and Two-Steps Optimal (TSO) algorithm for parameter selection in product design, and parameter adjustment under in dynamic environments. From the results of the confirm experiment, an electricity company is adopted to applies in the methodology, we find that the methodology of the CS-TSO algorithm can easily solves pattern-recognition problems, and is computationally efficient for constructing A model of A system. The CS-TSO algorithm is good at pattern-recognition and model construction of A dynamic system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
