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POVODA, L. BURGET, R. KARÁSEK, J. DUTTA, M. SINGH, A.
Original Title
Genetic Programming Operators for Work-Flow Optimization in Logistic Distribution Centers
Type
conference paper
Language
English
Original Abstract
This paper describes a set of new operators for grammar guided genetic programming algorithm used for work-flow optimization in logistic distribution centers. The paper is focused on the description of design of five genetic operators, results of particular operators in logistic work-flow optimization process and comparison of performance of particular operators. The main contribution of this paper is to show the automated problem solving techniques in form of genetic operators applied in genetic programming algorithm which is able to optimize a given problem from the area of logistic warehousing.
Keywords
genetic programming, genetic operators, logistic warehouse, optimization, process planning, schedulling
Authors
POVODA, L.; BURGET, R.; KARÁSEK, J.; DUTTA, M.; SINGH, A.
RIV year
2014
Released
7. 11. 2014
ISBN
978-1-4799-0190-6
Book
2013 Sixth International Conference on Contemporary Computing (IC3-2013)
Pages from
105
Pages to
109
Pages count
5
URL
https://ieeexplore.ieee.org/document/7005985
BibTex
@inproceedings{BUT110189, author="Lukáš {Povoda} and Radim {Burget} and Jan {Karásek} and Malay Kishore {Dutta} and Anushikha {Singh}", title="Genetic Programming Operators for Work-Flow Optimization in Logistic Distribution Centers", booktitle="2013 Sixth International Conference on Contemporary Computing (IC3-2013)", year="2014", pages="105--109", doi="10.1109/MedCom.2014.7005985", isbn="978-1-4799-0190-6", url="https://ieeexplore.ieee.org/document/7005985" }