TY - DATA
T1 - Supplementary data for the article: Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art
PY - 2019/10/31
AU - Lei He
AU - A. (Arthur) Guijt
AU - Mathijs de Weerdt
AU - L. (Lining) Xing
AU - Neil Yorke-Smith
UR - https://data.4tu.nl/articles/dataset/Supplementary_data_for_the_article_Order_Acceptance_and_Scheduling_with_Sequence-dependent_Setup_Times_a_New_Memetic_Algorithm_and_Benchmark_of_the_State_of_the_Art/12714527/1
DO - 10.4121/uuid:c3623076-a1ac-4103-ad31-3068a28312f9
KW - Adaptive large neighbourhood search
KW - Biased random key genetic algorithm
KW - Hybrid steady-state genetic algorithm
KW - Iterated local search
KW - Memetic algorithm
KW - Order Acceptance and Scheduling
N2 - The Order Acceptance and Scheduling (OAS) consists of simultaneously selecting a subset of orders to be processed as well as determining the associated schedule. A common generalization includes sequence-dependent setup times and time windows. We propose a novel memetic algorithm for this problem, called Sparrow. The dataset contains the source code of Sparrow, as well as our implementation of two state-of-the-art algorithms for the OAS problem from the literature. It also contains some new benchmark instances with more realistic properties.

"If you use this data and/or code, please cite the following paper: He L , Guijt A , De Weerdt M , et al. Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art[J]. Computers & Industrial Engineering, 2019, 138."
ER -