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Near-optimal solutions of large-scale Single Machine Scheduling Problems
Pasquale Avella (avella Abstract: We present a lagrangean heuristic based on the time-indexed formulation of the Single Machine Scheduling Problem with Release Dates. We observe that lagrangian relaxation of job constraints leads to a Weighted Stable Set problem on an Interval Graph. The problem is polynomially solvable by a dynamic programming algorithm. Computational experience is reported on instances up to 400 jobs and maximum processing time 50. Keywords: Single Machine Scheduling, Lagrangian relaxation, Interval Graphs Category 1: Applications -- OR and Management Sciences (Production and Logistics ) Category 2: Combinatorial Optimization Citation: Technical Report DIIMA - Università di Salerno, May 2002 Download: Entry Submitted: 05/15/2002 Modify/Update this entry | ||
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