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- W2775501512 abstract "In this paper, we present a new Adaptive Local Search approach (ALS) and its implementation for the NP hard Timetable Scheduling Problem. This approach uses graph heuristics to generate the initial solution and the Aspiration criterion with Random moves strategies to improve a guided local search procedure for the search process. Experimental results on a collection of data sets from the popular Carter's benchmark demonstrated very promising results when compared with several existing state of the art approaches." @default.
- W2775501512 created "2017-12-22" @default.
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- W2775501512 date "2017-10-01" @default.
- W2775501512 modified "2023-09-27" @default.
- W2775501512 title "Adaptive local search approach for the timetable scheduling problem" @default.
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- W2775501512 doi "https://doi.org/10.1109/icee-b.2017.8192111" @default.
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