Abstract
General algorithms can not well solve the problems as complex constrainted design variables and non-function mapping relationship between variables and their constraints. A rule based knowledge-base adaptive simulated annealing genetic algorithm (RBK ASAGA) was used to make optimization matching of hydraulic hybrid vehicle's (HHV) driving system. Simulations on optimized HHV under the circumstance of Simulink with a start-stop-start working cycle according to the corresponding energy have got the consistent conclusion which shows that the proposed RBK ASAGA is reasonable and effective.
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.
