WEBINAR / EVENT
Latest Developments in MIP Algorithms and Applications in the Power and Energy Industries (Chinese Language)
Watch this webinar to learn about the latest developments in MIP algorithms and applications in the power & energy industries.
September 01 2022
WEBINAR / EVENT
Latest Developments in MIP Algorithms and Applications in the Power and Energy Industries (Chinese Language)
Watch this webinar to learn about the latest developments in MIP algorithms and applications in the power & energy industries.
September 01 2022
WEBINAR / EVENT
Latest Developments in MIP Algorithms and Applications in the Power and Energy Industries (Chinese Language)
Watch this webinar to learn about the latest developments in MIP algorithms and applications in the power & energy industries.
September 01 2022
Webinar Summary
In this webinar, Dr. Zonghao Gu, co-founder and CTO of Gurobi, discusses mixed-integer programming (MIP) algorithms, shares some important techniques for solving MIP problems, and highlights the latest developments in the Gurobi MIP Optimizer. He also presents some case studies in the electrical power and energy industries, focusing on the security constrained unit commitment problem for electrical power generation and discussing a number of heuristic schemes that can be used to rapidly produce better solutions for this problem.
Presented Materials
Download the presentations, here.
Webinar Summary
In this webinar, Dr. Zonghao Gu, co-founder and CTO of Gurobi, discusses mixed-integer programming (MIP) algorithms, shares some important techniques for solving MIP problems, and highlights the latest developments in the Gurobi MIP Optimizer. He also presents some case studies in the electrical power and energy industries, focusing on the security constrained unit commitment problem for electrical power generation and discussing a number of heuristic schemes that can be used to rapidly produce better solutions for this problem.
Presented Materials
Download the presentations, here.
Webinar Summary
In this webinar, Dr. Zonghao Gu, co-founder and CTO of Gurobi, discusses mixed-integer programming (MIP) algorithms, shares some important techniques for solving MIP problems, and highlights the latest developments in the Gurobi MIP Optimizer. He also presents some case studies in the electrical power and energy industries, focusing on the security constrained unit commitment problem for electrical power generation and discussing a number of heuristic schemes that can be used to rapidly produce better solutions for this problem.
Presented Materials
Download the presentations, here.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Zonghao Gu
Chief Research Fellow & Co-Founder
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 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.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Zonghao Gu
Chief Research Fellow & Co-Founder
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 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.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Chief Research Fellow & Co-Founder
Zonghao Gu
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 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.
