CHAP's cross-platform portfolio finds feasible solutions for 47 of 50 MIP benchmark instances in five minutes, beating Gurobi (44) and cuOpt (43) by coordinating GPU tabu search with CPU fix-and-propagate and feasibility pump via a shared pool.
Operations Research Let- ters41(6), 611–614 (Nov 2013)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2roles
background 1polarities
background 1representative citing papers
Formulates the aircraft disassembly scheduling problem with real-world constraints and solves instances up to 1450 tasks using CP and MIP models derived from industrial data.
citing papers explorer
-
CHAP: A Hybrid GPU-CPU Heuristic for MIP
CHAP's cross-platform portfolio finds feasible solutions for 47 of 50 MIP benchmark instances in five minutes, beating Gurobi (44) and cuOpt (43) by coordinating GPU tabu search with CPU fix-and-propagate and feasibility pump via a shared pool.
-
Solving the Aircraft Disassembly Scheduling Problem
Formulates the aircraft disassembly scheduling problem with real-world constraints and solves instances up to 1450 tasks using CP and MIP models derived from industrial data.