Class06

Ordinal Optimization (OO) is a complementary tool for the performance evaluation and optimization of complex systems. Over a period of 14 years from 1992, a rather complete methodology has been developed. Its main contribution is the easing of the computational burden associated with the above problem when simulation models of the system must be used. Several orders of magnitude improvement can often be achieved rendering previously impossible problems within reach. In this talk, we shall give a simple introduction and overview of the methodology from first principles.

Professor Ho received his undergraduate and graduate education from Massachusetts Institute of Technology and Harvard University, respectively. For over forty years he taught and did research as a member of the Harvard faculty. He is active professionally in numerous capacities as editor of journals and author of book and paper classics, and he has received numerous awards. He is a life fellow of IEEE, an elected member of the U.S. National Academy of Engineering, and an elected foreign member of the Chinese Academy of Sciences and the Chinese Academy of Engineering. Since October 2001, he has also acted part-time as the chief scientist and chaired professor of the Center of Intelligent and Networked Systems at Tsinghua University, located in Beijing, China.

Host: Prof. Cassandras
Student Host: Kirk Wesselowski