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- W1536678045 abstract "A software solution based on a genetic algorithm (GA) optimization has been designed for creating a university class timetable. The prototype program has demonstrated the capability to define an acceptable schedule within a maximum stress, minimum resource environment. The constraints imposed in such a complex environment are resolved by the GA assisted by a dynamic penalty function and greedy algorithms using domain knowledge. These techniques create an intelligent genetic algorithm for solving discontinuous, complex, and highly epistatic optimization problems." @default.
- W1536678045 created "2016-06-24" @default.
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- W1536678045 date "1996-01-01" @default.
- W1536678045 modified "2023-10-17" @default.
- W1536678045 title "A smart genetic algorithm for university timetabling" @default.
- W1536678045 cites W2003995295 @default.
- W1536678045 doi "https://doi.org/10.1007/3-540-61794-9_59" @default.
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