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- W4386736699 abstract "Task scheduling is mainly a non-deterministic polynomial (NP-hard) challenge, it consists in organizing in time the realization of a sequence of tasks, considering real constraints: the scheduling problem is successfully tackled by different meta-heuristic algorithms, and the population algorithms, especially the genetic algorithm, present a superb performance in many cases. In our paper, we will apply the artificial bee colony algorithm on a scheduling case for limited identical resources, unitary processing, and non-repetitive tasks, and prove that this algorithm produces a better result comparing to the GA." @default.
- W4386736699 created "2023-09-15" @default.
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- W4386736699 date "2023-01-01" @default.
- W4386736699 modified "2023-09-27" @default.
- W4386736699 title "Artificial Bee Colony Applied to Scheduling in a Flowshop of Identical Machines" @default.
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- W4386736699 doi "https://doi.org/10.1007/978-3-031-43524-9_19" @default.
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