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,
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author = "Li Nie and Yuewei Bai and Xiaogang Wang and Kai Liu",
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title = "Discover Scheduling Strategies with Gene Expression
Programming for Dynamic Flexible Job Shop Scheduling
Problem",
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booktitle = "Proceedings of the Third International Conference on
Advances in Swarm Intelligence (ICSI 2012) Part {II}",
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editor = "Ying Tan and Yuhui Shi and Zhen Ji",
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year = "2012",
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volume = "7332",
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series = "Lecture Notes in Computer Science",
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pages = "383--390",
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address = "Shenzhen, China",
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month = jun # " 17-20",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, gene
expression programming",
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isbn13 = "978-3-642-31019-5",
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DOI = "doi:10.1007/978-3-642-31020-1_45",
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size = "8 pages",
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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.",
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affiliation = "School of Mechanical & Electronic Engineering,
Shanghai Second Polytechnic University, Jinhai Road
2360, Pudong District, Shanghai, 201209 People's
Republic of China",
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bibdate = "2012-06-15",
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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