ITEM METADATA RECORD
Title: A goal programming network for mixed integer linear programming: A case study for the Job-Shop scheduling problem
Authors: Van Hulle, Marc # ×
Issue Date: Jul-1991
Publisher: World Scientific
Series Title: International Journal of Neural Systems vol:2 issue:3 pages:201-209
Abstract: Job-shop scheduling is an np-complete optimization problem subject to precedence and resource constraints. Recently, Foo and Takefuji have introduced a network-based solution procedure for solving job-shop problems formulated as mixed integer linear programming problems. To obtain the solution, the Tank and Hopfield linear programming network was repeatedly used. However, since such a network frequently produces constraint-violating solutions, the reliability of Foo and Takefuji’s approach is doubtful. In this article, it is shown that reliability of the network approach can be greatly improved, by guaranteeing constraint-satisfying solutions, if the original job-shop problem is reformulated as a goal programming problem, before it is mapped onto a goal programming network.
ISSN: 0129-0657
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
× corresponding author
# (joint) last author

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