This inventor holds 1 USPTO granted patent. Top assignee: Leland Stanford Junior University. Active years: 2010.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2010
Title: The Innovative Mind of Feng Zhuge
Introduction
Feng Zhuge is a notable inventor based in Mountain View, CA. He has made significant contributions to the field of artificial intelligence and optimization techniques. His work focuses on enhancing search algorithms, particularly through the development of innovative methods.
Latest Patents
Feng Zhuge holds a patent for a method titled "Learning Enhanced Simulated Annealing." This method introduces a Learning Enhanced Simulated Annealing (LESA) framework that incorporates a Knowledge Base (KB). The KB is initialized at the beginning of the search and is updated at each iteration. It memorizes a portion of the search history and guides further searches through a KB trial generator. The core idea of LESA is to store search history in the KB, allowing the KB trial generator to extract information and generate new trials. The next move in the search process is determined by a weighted sum of the trials generated by both the KB trial generator and the traditional Simulated Annealing trial generator. The knowledge base is updated after each search iteration, enhancing the efficiency of the search process.
Career Highlights
Feng Zhuge is affiliated with Leland Stanford Junior University, where he continues to engage in research and development. His innovative approach to optimization algorithms has garnered attention in academic and professional circles. He has demonstrated a commitment to advancing the field through his research and inventions.
Collaborations
Feng has collaborated with notable colleagues, including Sandy A Napel and Shaohua Sun. Their combined expertise contributes to the advancement of research in their respective fields.
Conclusion
Feng Zhuge's contributions to the field of artificial intelligence and optimization are noteworthy. His innovative methods, particularly in Learning Enhanced Simulated Annealing, showcase his dedication to improving search algorithms. His work continues to influence the landscape of research and development in this area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile