A genetic algorithm for machine scheduling problem under shared resource constraints
by Yanzhi Li, Fan Wang, Andrew Lim
International Journal of Computer Applications in Technology (IJCAT), Vol. 19, No. 2, 2004

Abstract: In this paper, we present a popular machine scheduling problem with resource constraints in manufacturing engineering. A genetic algorithm based approach is put forward and illustrated, including a specialised encoding and two kinds of decoding greedy schemes. Compared with both several kinds of lower bounds we present in this paper and the results from ILOG OPL software package, it is shown that our rapid genetic algorithm achieved significant results with stable and near-optimal performance.

Online publication date: Sat, 27-Sep-2003

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