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Publication Type : Conference Paper
Publisher : IEEE Conference on Cybernetics and Intelligent Systems
Source : 2004 IEEE Conference on Cybernetics and Intelligent Systems, p.849-853 (2004)
ISBN : 9780780386440
Keywords : Binary representation, Binary sequences, decision making, Earliest due date (EDD), Hopfield neural networks, Image coding, Neural networks, Problem solving, Scheduling, Single machine total weighted tardiness problem, Terminology
Year : 2004
Abstract : This paper presents a Hopfield neural network approach for the problem of scheduling n jobs in a single machine to minimize total weighted tardiness. A binary encoding scheme is introduced to represent the solutions, together with a heuristic to decode. A 10-job problem is solved by sequencing the job using different methods viz. weighted shortest processing time (WSPT) rule, Earliest Due Date (EDD) rule, binary representation and Hopfield Neural Network. The results show that the Hopfield neural network performs better over others.
Cite this Research Publication : Ra Maheswaran, Ponnambalam, S. Gb, Samuel, D. Na, and Ramkumar, A. Sc, “Hopfield neural network approach for single machine scheduling problem”, in 2004 IEEE Conference on Cybernetics and Intelligent Systems, 2004, pp. 849-853.