Better Solutions Through Effective Parameter Setting
Find better optimization solutions in less time through effective parameter setting
One hour webinar, given by Gurobi CTO and Co-founder, Dr. Zonghao Gu
In this one hour webinar, given by Gurobi CTO and Co-founder, Dr. Zonghao Gu, we’ll be talking about parameters for Gurobi optimizers and discussing how to find good parameter settings that improve performance and robustness to solve hard optimization problems.
Dr. Zonghao Gu has a B. Eng. in Mechanical Engineering and an M. Eng. in Industrial Management from Tongji University, Shanghai. He has a PhD in Industrial Engineering from the Georgia Institute of Technology.
Dr. Gu has published several papers on the computational aspects of mathematical programming. He is currently a Technical Editor for Mathematical Programming Computation. He is one of the world’s leading experts on the computational aspects of linear, integer, and quadratic programming, and is particularly well known for his deep understanding of cutting planes and their application to the solution of general mixed-integer programs.
Dr. Gu worked from 1995 to 1998 as an optimization software developer for LINDO Systems, Inc., before joining the ILOG CPLEX R&D team in 1998 as a senior software developer and later as a Distinguished Scientist. From 2005 to 2008 he was Project Architect for the CPLEX R&D team and was the lead developer for CPLEX 11. He was responsible for the implementation of the CPLEX QP simplex and MIQP solvers, had primary responsibility for the presolve and cutting plane routines, and made various contributions to the CPLEX LP simplex solver.