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A Genetic Algorithm Methodology for Complex Scheduling Problems
Bryan A. Norman
, James C. Bean
Industrial Engineering
Research output
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Contribution to journal
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Article
›
peer-review
121
Scopus citations
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Dive into the research topics of 'A Genetic Algorithm Methodology for Complex Scheduling Problems'. Together they form a unique fingerprint.
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Mathematics
Genetic Algorithm
100%
Scheduling Problem
94%
Sequence-dependent Setup Times
73%
Total Tardiness
72%
Methodology
67%
Immigration
56%
Crossover
53%
Industry
47%
Mutation
46%
Computational Results
45%
Bernoulli
45%
Robustness
38%
Minimise
36%
Demonstrate
27%
Business & Economics
Genetic Algorithm
90%
Scheduling Problem
83%
Sequence-dependent Setup Times
64%
Total Tardiness
63%
Auto Industry
57%
Crossover
55%
Immigration
49%
Mutation
46%
Methodology
46%
Robustness
38%
Engineering & Materials Science
Genetic algorithms
65%
Scheduling
63%
Industry
20%