Heuristic algorithms for the inverse mixed integer linear programming problem

DOI10.1007/S10898-010-9637-2zbMath1229.90105OpenAlexW2086250564MaRDI QIDQ652705

Zhaoyang Duan, Lizhi Wang

Publication date: 15 December 2011

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-010-9637-2

zbMATH Keywords

parallel computingmixed integer linear programminginverse optimization

Mathematics Subject Classification ID

Mixed integer programming (90C11) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (8)

Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods ⋮ Objective Selection for Cancer Treatment: An Inverse Optimization Approach ⋮ Objective-based counterfactual explanations for linear discrete optimization ⋮ Branch-and-bound algorithms for the partial inverse mixed integer linear programming problem ⋮ Inverse linear programming with interval coefficients ⋮ A polyhedral characterization of the inverse-feasible region of a mixed-integer program ⋮ Capacitated partial inverse maximum spanning tree under the weighted Hamming distance ⋮ Bilevel Optimization: Theory, Algorithms, Applications and a Bibliography

Uses Software

• MIPLIB
• MIPLIB2003

Cites Work

• Cutting plane algorithms for the inverse mixed integer linear programming problem
• On an instance of the inverse shortest paths problem
• Inverse optimization in high-speed networks
• Two general methods for inverse optimization problems
• The complexity analysis of the inverse center location problem
• Inverse combinatorial optimization: a survey on problems, methods, and results
• MIPLIB 2003
• Constrained inverse minimum spanning tree problems under the bottleneck-type Hamming distance
• An Inverse-Optimization-Based Auction Mechanism to Support a Multiattribute RFQ Process
• Inverse Optimization
• Inverse Optimization: An Application to the Capacitated Plant Location Problem
• A column generation method for inverse shortest path problems
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