WEBINAR / EVENT
Faster MIPs Using Custom Heuristics
Watch this webinar to learn what models may benefit from custom MIP heuristics and how to build your own custom MIP heuristics.
September 01 2022
WEBINAR / EVENT
Faster MIPs Using Custom Heuristics
Watch this webinar to learn what models may benefit from custom MIP heuristics and how to build your own custom MIP heuristics.
September 01 2022
WEBINAR / EVENT
Faster MIPs Using Custom Heuristics
Watch this webinar to learn what models may benefit from custom MIP heuristics and how to build your own custom MIP heuristics.
September 01 2022
Webinar Summary
MIPs often solve faster with good integer feasible solutions. Thus, Gurobi contains a variety of MIP heuristics to create integer solutions and improve them. However, sometimes you can improve upon this with custom integer heuristics that exploit model structure.
In this webinar, you will learn:
What models may benefit from custom MIP heuristics, and how to build your own custom MIP heuristics by using the traveling salesman problem to illustrate different integer heuristics that take advantage of both model structure and relaxed solution values in the MIP tree.
Presented Materials
Download the presentation, here.
Webinar Summary
MIPs often solve faster with good integer feasible solutions. Thus, Gurobi contains a variety of MIP heuristics to create integer solutions and improve them. However, sometimes you can improve upon this with custom integer heuristics that exploit model structure.
In this webinar, you will learn:
What models may benefit from custom MIP heuristics, and how to build your own custom MIP heuristics by using the traveling salesman problem to illustrate different integer heuristics that take advantage of both model structure and relaxed solution values in the MIP tree.
Presented Materials
Download the presentation, here.
Webinar Summary
MIPs often solve faster with good integer feasible solutions. Thus, Gurobi contains a variety of MIP heuristics to create integer solutions and improve them. However, sometimes you can improve upon this with custom integer heuristics that exploit model structure.
In this webinar, you will learn:
What models may benefit from custom MIP heuristics, and how to build your own custom MIP heuristics by using the traveling salesman problem to illustrate different integer heuristics that take advantage of both model structure and relaxed solution values in the MIP tree.
Presented Materials
Download the presentation, 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.
Gregory Glockner
Vice President and Technical Fellow
Dr. Gregory Glockner has a B.S. magna cum laude from Yale University in Applied Mathematics and Music, and an M.S. and Ph.D. in Operations Research from the Georgia Institute of Technology. His doctoral dissertation was awarded the 1997 Transportation Science Dissertation Prize from INFORMS. Dr. Glockner has trained users of optimization software in Brazil, Hong Kong, Japan, Singapore, South Korea, and throughout the USA and Canada. He is an expert in optimization modeling and software development: his professional experience in software development includes all major platforms and 9 of the top 10 programming languages in the TIOBE Programming Community Index. Prior to joining Gurobi Optimization in 2009, Dr. Glockner was partner and Chief Operating Officer for Dwaffler, a provider of decision analysis tools. From 1998-2007, he worked at ILOG in two different positions: as a Senior Technical Account Manager and a Product Manager. As an ILOG Senior Technical Account Manager, he introduced advanced optimization and rules software to customers across North America. As an ILOG Product Manager, he was responsible for product management of CPLEX, ODM, OPL and Solver. From 1997-1998, he worked at Pacific Gas & Electric, where he developed stochastic programming software for hydroelectric power scheduling, and he built statistical tools for energy trading in the deregulated energy market. He has also worked as an operations research analyst for the Federal Aviation Administration and for Northwest Airlines.
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.
Gregory Glockner
Vice President and Technical Fellow
Dr. Gregory Glockner has a B.S. magna cum laude from Yale University in Applied Mathematics and Music, and an M.S. and Ph.D. in Operations Research from the Georgia Institute of Technology. His doctoral dissertation was awarded the 1997 Transportation Science Dissertation Prize from INFORMS. Dr. Glockner has trained users of optimization software in Brazil, Hong Kong, Japan, Singapore, South Korea, and throughout the USA and Canada. He is an expert in optimization modeling and software development: his professional experience in software development includes all major platforms and 9 of the top 10 programming languages in the TIOBE Programming Community Index. Prior to joining Gurobi Optimization in 2009, Dr. Glockner was partner and Chief Operating Officer for Dwaffler, a provider of decision analysis tools. From 1998-2007, he worked at ILOG in two different positions: as a Senior Technical Account Manager and a Product Manager. As an ILOG Senior Technical Account Manager, he introduced advanced optimization and rules software to customers across North America. As an ILOG Product Manager, he was responsible for product management of CPLEX, ODM, OPL and Solver. From 1997-1998, he worked at Pacific Gas & Electric, where he developed stochastic programming software for hydroelectric power scheduling, and he built statistical tools for energy trading in the deregulated energy market. He has also worked as an operations research analyst for the Federal Aviation Administration and for Northwest Airlines.
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.
Vice President and Technical Fellow
Gregory Glockner
Dr. Gregory Glockner has a B.S. magna cum laude from Yale University in Applied Mathematics and Music, and an M.S. and Ph.D. in Operations Research from the Georgia Institute of Technology. His doctoral dissertation was awarded the 1997 Transportation Science Dissertation Prize from INFORMS. Dr. Glockner has trained users of optimization software in Brazil, Hong Kong, Japan, Singapore, South Korea, and throughout the USA and Canada. He is an expert in optimization modeling and software development: his professional experience in software development includes all major platforms and 9 of the top 10 programming languages in the TIOBE Programming Community Index. Prior to joining Gurobi Optimization in 2009, Dr. Glockner was partner and Chief Operating Officer for Dwaffler, a provider of decision analysis tools. From 1998-2007, he worked at ILOG in two different positions: as a Senior Technical Account Manager and a Product Manager. As an ILOG Senior Technical Account Manager, he introduced advanced optimization and rules software to customers across North America. As an ILOG Product Manager, he was responsible for product management of CPLEX, ODM, OPL and Solver. From 1997-1998, he worked at Pacific Gas & Electric, where he developed stochastic programming software for hydroelectric power scheduling, and he built statistical tools for energy trading in the deregulated energy market. He has also worked as an operations research analyst for the Federal Aviation Administration and for Northwest Airlines.
