Improving local search heuristics for some scheduling problems. Part II
Discrete Applied Mathematics - Special issue on models and algorithms for planning and scheduling problems
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
A survey of very large-scale neighborhood search techniques
Discrete Applied Mathematics
Performance Guarantees of Local Search for Multiprocessor Scheduling
INFORMS Journal on Computing
Quality of move-optimal schedules for minimizing total weighted completion time
Operations Research Letters
Local search for multiprocessor scheduling: how many moves does it take to a local optimum?
Operations Research Letters
On the Road to $\mathcal{PLS}$-Completeness: 8 Agents in a Singleton Congestion Game
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Local search performance guarantees for restricted related parallel machine scheduling
LATIN'10 Proceedings of the 9th Latin American conference on Theoretical Informatics
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We study the problem of minimizing the makespan on m parallel machines. We introduce a very large-scale neighborhood of exponential size (in the number of machines) that is based on a matching in a complete graph. The idea is to partition for every machine the set of assigned jobs into two sets by some fixed rule and then to reassign these 2m parts such that every machine gets exactly two parts. The split neighborhood consists of all possible reassignments of the parts and a best neighbor can be calculated in O(mlogm) by determining a perfect matching with minimum maximal edge weight. We examine local optima in the split neighborhood and in combined neighborhoods consisting of the split and other known neighborhoods and derive performance guarantees for these local optima.