Abstract
T his paper presents an empirical comparison of polynomial-time approximation algorithms and local search heuristics for the problem of minimizing total weighted completion time on unrelated parallel machines. Algorithms with a worst-case performance guarantee are based on rounding a fractional solution to an LP-relaxation or to a convex quadratic-programming relaxation. We also investigate dominance relations among the lower bounds resulting from these relaxations.
Original language | English |
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Pages (from-to) | 175-189 |
Journal | Informs Journal on Computing |
Volume | 14 |
DOIs | |
Publication status | Published - 1 Jan 2002 |