Abstract
This work presents a novel algorithm to solve the dynamic optimization problem with flexible constraints. The objective of the problem is considered with different degree of satisfaction. Fuzzy inference is then incorporated into iterative dynamic programming (IDP) to find the solution. Two typical problems are employed to demonstrate the capability and efficiency for the proposed algorithm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.