Focused simulated annealing search: An application to job shop scheduling

Focused simulated annealing search: An application to job shop scheduling

0.00 Avg rating0 Votes
Article ID: iaor19971353
Country: Netherlands
Volume: 63
Issue: 1
Start Page Number: 77
End Page Number: 103
Publication Date: May 1996
Journal: Annals of Operations Research
Authors: ,
Keywords: optimization: simulated annealing, combinatorial analysis
Abstract:

This paper presents a simulated annealing search procedure developed to solve job shop scheduling problems simultaneously subject to tardiness and inventory costs. The procedure is shown to significantly increase schedule quality compared to multiple combinations of dispatch rules and release policies, though at the expense of intense computational efforts. A meta-heuristic procedure is developed that aims at increasing the efficiency of simulated annealing by dynamically inflating the costs associated with major inefficiencies in the current solution. Three different variations of this procedure are considered. One of these variations is shown to yield significant reductions in computational time, especially on problems where search is more likely to get trapped in local minima. The authors analyze why this variation of the meta-heuristic is more effective than the others.

Reviews

Required fields are marked *. Your email address will not be published.