Investigating the use of genetic programming for a classic one-machine scheduling problem

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@Article{Dimopoulos:2001:AES,

• author = "C. Dimopoulos and A. M. S. Zalzala",
• title = "Investigating the use of genetic programming for a classic one-machine scheduling problem",
• journal = "Advances in Engineering Software",
• volume = "32",
• pages = "489--498",
• year = "2001",
• number = "6",
• month = jun,
• email = "cop97cd@sheffield.ac.uk",
• keywords = "genetic algorithms, genetic programming, Evolutionary computation, Manufacturing optimisation, Tardiness, Scheduling",
• URL = "http://www.sciencedirect.com/science/article/B6V1P-42YFC02-7/1/6be8f2e3206dccb17801b7a7833a6299",
• ISSN = "0965-9978",
• DOI = "doi:10.1016/S0965-9978(00)00109-5",
• 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

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