Discover Scheduling Strategies with Gene Expression Programming for Dynamic Flexible Job Shop Scheduling Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.7954

@InProceedings{conf/swarm/NieBWL12,

• author = "Li Nie and Yuewei Bai and Xiaogang Wang and Kai Liu",
• title = "Discover Scheduling Strategies with Gene Expression Programming for Dynamic Flexible Job Shop Scheduling Problem",
• booktitle = "Proceedings of the Third International Conference on Advances in Swarm Intelligence (ICSI 2012) Part {II}",
• editor = "Ying Tan and Yuhui Shi and Zhen Ji",
• year = "2012",
• volume = "7332",
• series = "Lecture Notes in Computer Science",
• pages = "383--390",
• address = "Shenzhen, China",
• month = jun # " 17-20",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, gene expression programming",
• isbn13 = "978-3-642-31019-5",
• DOI = "doi:10.1007/978-3-642-31020-1_45",
• size = "8 pages",
• abstract = "In this paper, an intelligent approach based on gene expression programming (GEP) is proposed to discover scheduling strategies for dynamic flexible job shop scheduling problem (DFJSP). In the approach, an indirect encoding and decoding scheme is designed in which the concept of automatically defined functions (ADF) is introduced. In the evaluation of the proposed GEP-based approach, simulation experiments are conducted with respect to the objective of minimising mean tardiness. The results show that GEP-based approach can automatically find more efficient scheduling strategies for DFJSP under a big range of processing conditions.",
• affiliation = "School of Mechanical & Electronic Engineering, Shanghai Second Polytechnic University, Jinhai Road 2360, Pudong District, Shanghai, 201209 People's Republic of China",
• bibdate = "2012-06-15",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/swarm/icsi2012-2.html#NieBWL12",

}

Genetic Programming entries for Li Nie Yuewei Bai Xiaogang Wang Kai Liu

Citations