Investigating the use of genetic programming for a classic one-machine scheduling problem
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- @Article{Dimopoulos:2001:AES,
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author = "C. Dimopoulos and A. M. S. Zalzala",
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title = "Investigating the use of genetic programming for a
classic one-machine scheduling problem",
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journal = "Advances in Engineering Software",
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volume = "32",
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pages = "489--498",
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year = "2001",
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number = "6",
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month = jun,
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email = "cop97cd@sheffield.ac.uk",
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keywords = "genetic algorithms, genetic programming, Evolutionary
computation, Manufacturing optimisation, Tardiness,
Scheduling",
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URL = "http://www.sciencedirect.com/science/article/B6V1P-42YFC02-7/1/6be8f2e3206dccb17801b7a7833a6299",
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ISSN = "0965-9978",
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DOI = "doi:10.1016/S0965-9978(00)00109-5",
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abstract = "Genetic programming has rarely been applied to
manufacturing optimisation problems. We investigate the
potential use of genetic programming for the solution
of the one-machine total tardiness problem. Genetic
programming is used for the evolution of scheduling
policies in the form of dispatching rules. These rules
are trained to cope with different levels of tardiness
and tightness of due dates.",
- }
Genetic Programming entries for
Christos Dimopoulos
Ali M S Zalzala
Citations