Improving local search heuristics for some scheduling problems. Part II
Discrete Applied Mathematics - Special issue on models and algorithms for planning and scheduling problems
Performance Guarantees of Local Search for Multiprocessor Scheduling
Proceedings of the 8th International IPCO Conference on Integer Programming and Combinatorial Optimization
Performance Guarantees of Local Search for Multiprocessor Scheduling
INFORMS Journal on Computing
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WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
WAOA'07 Proceedings of the 5th international conference on Approximation and online algorithms
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We analyze two local search algorithms for multiprocessor scheduling. The first algorithm is a job interchange algorithm for identical parallel machines due to Finn and Horowitz (Bit 19 (1979) 312). We construct instances for which this algorithm takes a quadratic number of iterations. This contradicts the original analysis of Finn and Horowitz who claimed a linear number of iterations. The second algorithm adds an additional rule to the Finn and Horowitz algorithm. Even for n jobs on m uniformly related machines, this modified algorithm takes only O(nm) iterations.