Gürgün, Burçkaan2016-01-082016-01-081993http://hdl.handle.net/11693/17474Ankara : Department of Industrial Engineering and The Institute of Engineering and Sciences of Bilkent Univ., 1993.Thesis (Master's) -- Bilkent University, 1993.Includes bibliographical references leaves 59-65.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.viii, 65 leaves, illustrationsEnglishinfo:eu-repo/semantics/openAccessNeural NetworksMakespanTardinessSchedulingTK7866 .G87 1993Electronics--Notation.Electronic circuits--Drawings.Neural networks (Computer science)--Design and construction.Neural networks.Thesis