Automatic Design of Intercell Scheduling Heuristics

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@Article{Li:2019:ASE,

• author = "Dongni Li and Rongxin Zhan and Shaofeng Du and Xuhui Wu and Shuai Wang",
• journal = "IEEE Transactions on Automation Science and Engineering",
• title = "Automatic Design of Intercell Scheduling Heuristics",
• year = "2019",
• volume = "16",
• number = "4",
• pages = "1907--1921",
• month = oct,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/TASE.2019.2895369",
• ISSN = "1558-3783",
• abstract = "Though intercell scheduling problems have been studied in the literature, extant algorithms can hardly come into play in practice. This is because of two reasons: 1) transportation among cells, which is important for practical intercell scheduling, has not been adequately considered and 2) the problem size is large in practice, which may lead to intolerable computation efficiency. The motivation of this paper is to automatically design intercell scheduling heuristics that are suitable for practical application. A genetic programming algorithm with a pretraining strategy (GP-PS) is proposed. Production within cells and transportation among cells are simultaneously considered, and a cooperative coevolutionary framework is designed. To evolve better heuristics, a PS is developed. A speedup strategy is designed to accelerate the evolutionary process. Comparative experiments are conducted with other GP-based algorithms, speedup strategies, and with some state-of-the-art intercell scheduling algorithms. GP-PS is also put into use in a large manufacturing enterprise of China. Computational experiments and application results both verify the effectiveness of GP-PS.",
• notes = "Also known as \cite{8671727}",

}

Genetic Programming entries for Dongni Li Rongxin Zhan Shaofeng Du Xuhui Wu Shuai Wang

Citations