Learning Dispatching Rules for Scheduling: A Synergistic View Comprising Decision Trees, Tabu Search and Simulation
A promising approach for an effective shop scheduling that synergizes the benefits of the combinatorial optimization, supervised learning and discrete-event simulation is presented. Though dispatching rules are in widely used by shop scheduling practitioners, only ordinary performance rules are know...
Main Authors: | Atif Shahzad, Nasser Mebarki |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-02-01
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Series: | Computers |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-431X/5/1/3 |
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