Scheduling with artificial neural networks
Author(s)
Advisor
Sabuncuoglu, IhsanDate
1993Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Abstract
Artificial Neural Networks (ANNs) attempt to emulate the massively parallel
and distributed processing of the human brain. They are being examined
for a variety of problems that have been very difficult to solve. The objective
of this thesis is to review the current applications of ANNs to scheduling
problems and to develop a parallelized network model for solving the single
machine mean tardiness scheduling problem and the problem of finding the
minimum makespan in a job-shop. The proposed model is also compared with
the existing heuristic procedures under a variety of experimental conditions.