An enhanced Genetic Algorithm with an innovative encoding strategy for flexible job-shop scheduling with operation and processing flexibility

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Huang, Xuewen, Zhang, Xiaotong, Islam, Sardar M. N and Vega-Mejía, Carlos Alberto (2019) An enhanced Genetic Algorithm with an innovative encoding strategy for flexible job-shop scheduling with operation and processing flexibility. Journal of Industrial and Management Optimization. ISSN 1553-166X

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/40485
DOI https://doi.org/10.3934/jimo.2019088
Official URL http://www.aimsciences.org/article/doi/10.3934/jim...
Subjects Current > FOR Classification > 0102 Applied Mathematics
Current > FOR Classification > 0103 Numerical and Computational Mathematics
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords Flexible Job-shop Scheduling Problem with Operation and Processing flexibility; FJSP-OP; Four-Tuple Scheme; Deterministic scheduling theory; operations research; approximation methods; mathematical programming
Citations in Scopus 0 - View on Scopus
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