
doi: 10.1007/bf01939360
This paper derives an upper bound for the speedup obtainable by any parallel branch-and-bound algorithm using the best-bound search strategy. We confirm that parallel branch-and-bound can achieve nearly linear, or even super-linear, speedup under the appropriate conditions.
parallel branch-and-bound algorithm, Numerical mathematical programming methods, Analysis of algorithms and problem complexity, traveling salesman, upper bound, Integer programming, Programming involving graphs or networks
parallel branch-and-bound algorithm, Numerical mathematical programming methods, Analysis of algorithms and problem complexity, traveling salesman, upper bound, Integer programming, Programming involving graphs or networks
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