This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Hefei University of Technology. Active years: 2019.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019
Title: Innovations of Xiaofei Qian
Introduction
Xiaofei Qian is a notable inventor based in Anhui, China. He has made significant contributions to the field of scheduling algorithms, particularly in the context of parallel processing machines. His work focuses on enhancing the efficiency of job scheduling in collaborative production environments.
Latest Patents
Xiaofei Qian holds a patent for a method and system for scheduling parallel processing machines based on a hybrid shuffled frog leaping algorithm and variable neighborhood search algorithm. This innovative approach addresses the collaborative production and processing of jobs across multiple unrelated batch processing machines. The method involves distributing jobs to machines based on their normal processing times and the deterioration situations of the jobs. An effective multi-machine heuristic rule is designed, leveraging the structural properties of optimal solutions for single-machine problems. The improved shuffled frog leaping algorithm enhances the local search procedure by incorporating the variable neighborhood search algorithm, thereby improving the convergence rate and optimization capacity of the original algorithm. He has 1 patent to his name.
Career Highlights
Xiaofei Qian is affiliated with Hefei University of Technology, where he contributes to research and development in his field. His academic background and professional experience have positioned him as a key figure in the study of scheduling algorithms.
Collaborations
He has collaborated with notable colleagues, including Zhiping Zhou and Min Kong, to advance research in scheduling methodologies and algorithms.
Conclusion
Xiaofei Qian's innovative work in scheduling algorithms demonstrates his commitment to improving production efficiency through advanced methodologies. His contributions are valuable to the field and continue to influence future research and applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile