Active-constraint variable ordering for faster feasibility of mixed integer linear programs

DOI10.1007/s10107-006-0009-0zbMath1205.90207OpenAlexW2068133968MaRDI QIDQ985305

Jagat Patel, John W. Chinneck

Publication date: 21 July 2010

Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10107-006-0009-0

zbMATH Keywords

branching variable selectionMIP solver

Mathematics Subject Classification ID

Mixed integer programming (90C11) Polyhedral combinatorics, branch-and-bound, branch-and-cut (90C57)

Related Items

DASH: dynamic approach for switching heuristics, Achieving MILP feasibility quickly using general disjunctions, Inequalities and Target Objectives for Metaheuristic Search – Part I: Mixed Binary Optimization, Faster integer-feasibility in mixed-integer linear programs by branching to force change, Branching on nonchimerical fractionalities, Solution Counting Algorithms for Constraint-Centered Search Heuristics, Zero duality gap in surrogate constraint optimization: a concise review of models, Information-based branching schemes for binary linear mixed integer problems, A computational study of parametric tabu search for 0-1 mixed integer programs, Minimal infeasible constraint sets in convex integer programs, Faster MIP solutions via new node selection rules, Solution counting algorithms for constraint-centered search heuristics, Improving strong branching by domain propagation, The feasibility pump

Uses Software

• MIPLIB
• CPLEX
• Benchmarks for Optimization Software
• FEASPUMP
• MIPLIB2003
• Octane

Cites Work

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