Many-Objective Genetic Programming for Job-Shop Scheduling
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- @Article{Masood:2022:sigevolution,
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author = "Atiya Masood",
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title = "Many-Objective Genetic Programming for Job-Shop
Scheduling",
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journal = "SIGEVOlution newsletter of the ACM Special Interest
Group on Genetic and Evolutionary Computation",
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year = "2022",
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volume = "15",
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number = "4",
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month = dec,
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keywords = "genetic algorithms, genetic programming, GPHH",
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ISSN = "1931-8499",
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URL = "https://evolution.sigevo.org/issues/HTML/sigevolution-15-4/index.htm#Many-Objective_Genetic_Programming_for_Job-Shop_Scheduling",
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DOI = "doi:10.1145/3584367.3584370",
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size = "4 pages",
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abstract = "Summary of PhD dissertation \cite{Masood:thesis}
representing the first effort at many-objective
optimization in job shop scheduling (JSS). It develops
genetic programming hyperheuristic (GP-HH) approaches
to evolve effective dispatching rules for many
conflicting objectives in JSS problems. The aim is to
develop GP-HH methods that alleviate issues related to
many-objective optimisation in JSS problems and evolve
new effective dispatching rules capable of enhancing
job shops productivity.",
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notes = "https://evolution.sigevo.org/",
- }
Genetic Programming entries for
Atiya Masood
Citations