Hamad, S and Sanugi, Bahrom and Salleh, Shahruddin Hussain (2003) A neural network model for the common due date job scheduling on unrelated parallel machines. International Journal of Computer Mathematics, 80 (7). pp. 845-851.
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Official URL: http://dx.doi.org/10.1080/0020716031000103358
This paper presents an approach for scheduling under a common due date on parallel unrelated machine problems based on artificial neural network. The objective is to allocate and sequence the jobs on the machines so that the total cost is minimized. The total cost is the sum of the total earliness and the total tardiness cost. The multilayer Perceptron (MLP) neural network is a suitable model in our study due to the fact that the problem is NP-hard. In our study, neural network has been proven to be effective and robust in generating near optimal solutions to the problem.
|Uncontrolled Keywords:||Neural network, unrelated parallel machines and job scheduling|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Computer Science and Information System (Formerly known)|
|Deposited By:||Maznira Sylvia Azra Mansor|
|Deposited On:||08 Jan 2009 01:19|
|Last Modified:||08 Jan 2009 01:19|
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