Selecting Scheduling Heuristics Using Neural Networks

Authors:
Jatinder N. D. Gupta;Randall S. Sexton;Enar A. Tunc
Affiliations:
-;-;-
Venue:
INFORMS Journal on Computing
Year:
2000

Citing 0
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Abstract

This paper discusses the application of neural networks to select the best heuristic algorithm to solve a given scheduling problem. The two-stage hybrid flowshop with multiple identical parallel machines at the second stage is used as an example to discuss the process of selecting a scheduling heuristic through a neural-network approach. This paper uses the genetic-algorithm-based approach for training the neural network and shows that the suggested neural-network approach is quite effective and efficient for selecting the best heuristic algorithm for solving a given scheduling problem.