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• W28160557 abstract "This paper examines the application of genetic algorithms to a scheduling problem in which n jobs are to be scheduled on a single and parallel identical machines with an objective to minimize the total flow time. The jobs are divided into mutually exclusive classes and a setup task is required when processing switches from a job of one class to a job of another class. The setup times are assumed to be sequence independent. The range of applications of genetic algorithms has grown rapidly in the recent years and genetic algorithms are being used in industrial and financial fields. For a small and medium scale machine shop, it is difficult to hire experts to design and build customized software. Keeping in view this application oriented aspect, it was decided to use the Evolver software package, an addition to the Excel spreadsheet to implement the genetic algorithm." @default.
• W28160557 created "2016-06-24" @default.
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• W28160557 date "1997-01-01" @default.
• W28160557 modified "2023-09-23" @default.
• W28160557 title "Genetic Algorithms and Machine Scheduling With Class Setups" @default.
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• W28160557 hasPublicationYear "1997" @default.
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