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Explore advanced strategies for mixed integer nonlinear program optimization through MIP lifting. Learn valuable techniques and applications to improve problem-solving efficiency.
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MIP Lifting Techniques for Mixed Integer Nonlinear Programs Jean-Philippe P. Richard* School of Industrial Engineering, Purdue University Mohit Tawarmalani Krannert School of Management, Purdue University *Supported by NSF DMI0348611
Structure of the Talk MIP 2006, Thursday June 8th 2006
A Motivation in Integer Programming MIP 2006, Thursday June 8th 2006
A Motivation in Integer Programming MIP 2006, Thursday June 8th 2006
What is MIP Lifting? MIP 2006, Thursday June 8th 2006
Some Literature on MIP lifting MIP 2006, Thursday June 8th 2006
What is Hard about MINLP Lifting? MIP 2006, Thursday June 8th 2006
Overview & Goal of Our Work MIP 2006, Thursday June 8th 2006
Some Nice Features of MINLP Lifting MIP 2006, Thursday June 8th 2006
Goal of Part II MIP 2006, Thursday June 8th 2006
Mixed Integer Nonlinear Knapsack MIP 2006, Thursday June 8th 2006
Mixed Integer Nonlinear Knapsack MIP 2006, Thursday June 8th 2006
Generating Valid Inequalities for PS MIP 2006, Thursday June 8th 2006
A General Lifting Result for PS MIP 2006, Thursday June 8th 2006
Advantages and Limitations of the Lifting Scheme MIP 2006, Thursday June 8th 2006
A Superadditive Lifting Result for PS MIP 2006, Thursday June 8th 2006
A Superadditive Lifting Result for PS MIP 2006, Thursday June 8th 2006
A Superadditive Lifting Result for PS MIP 2006, Thursday June 8th 2006
Application: Bilinear Mixed Integer Knapsack Problem (BMIKP) MIP 2006, Thursday June 8th 2006
BMIKP: Comments MIP 2006, Thursday June 8th 2006
The Convex Hull of PT’ is a Polyhedron MIP 2006, Thursday June 8th 2006
Obtaining Facets of PT using Superadditive Lifting MIP 2006, Thursday June 8th 2006
Obtaining Facets of PT using Superadditive Lifting MIP 2006, Thursday June 8th 2006
Example MIP 2006, Thursday June 8th 2006
Obtaining Facets of PT using Superadditive Lifting MIP 2006, Thursday June 8th 2006
Another Family of Strong Inequalities for PT MIP 2006, Thursday June 8th 2006
Another Family of Strong Inequalities for PT MIP 2006, Thursday June 8th 2006
Example MIP 2006, Thursday June 8th 2006
An Equivalent Integer Programming Formulation for PT MIP 2006, Thursday June 8th 2006
An Equivalent Integer Programming Formulation for PT MIP 2006, Thursday June 8th 2006
Strong Rank-1 Inequalities MIP 2006, Thursday June 8th 2006
High Rank Certificate MIP 2006, Thursday June 8th 2006
Lifted Cover Cuts for BMIKP are not Strong Rank-1 MIP 2006, Thursday June 8th 2006
Towards the Next Step… MIP 2006, Thursday June 8th 2006
Goal of Part III MIP 2006, Thursday June 8th 2006
A General Procedure MIP 2006, Thursday June 8th 2006
Deriving Nonlinear Cuts for Mixed Integer Programs: Applications MIP 2006, Thursday June 8th 2006
Obtaining the Convex Hull of a Simple Bilinear Knapsack Set MIP 2006, Thursday June 8th 2006
Obtaining the Convex hull of a Simple Bilinear Knapsack Set MIP 2006, Thursday June 8th 2006
Obtaining the Convex hull of a Simple Bilinear Knapsack Set MIP 2006, Thursday June 8th 2006
Obtaining the Convex hull of a Simple Bilinear Knapsack Set MIP 2006, Thursday June 8th 2006
Obtaining Convex Hulls of Disjunctive Sets: An Example MIP 2006, Thursday June 8th 2006
Obtaining Convex Hulls of Disjunctive Sets: An Example MIP 2006, Thursday June 8th 2006