DocumentCode :
1793691
Title :
Genetic programming operators for work-flow optimization in logistic distribution centers
Author :
Karasek, Jan ; Burget, Radim ; Povoda, Lukas ; Dutta, Malay Kishore ; Singh, Ashutosh
Author_Institution :
Fac. of Electr. Eng. & Commun., Brno Univ. of Technol., Brno, Czech Republic
fYear :
2014
fDate :
7-8 Nov. 2014
Firstpage :
105
Lastpage :
109
Abstract :
This paper describes a set of new operators for grammar guided genetic programming algorithm used for workflow 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 algorithms; grammars; logistics; warehousing; genetic programming operators; grammar guided genetic programming algorithm; logistic distribution centers; logistic warehousing; logistic work-flow optimization process; Biomedical imaging; Communication systems; Genetic programming; Job shop scheduling; Logistics; Optimization; genetic operators; genetic programming; logistic warehouse; optimization; process planning & schedulling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location :
Greater Noida
Print_ISBN :
978-1-4799-5096-6
Type :
conf
DOI :
10.1109/MedCom.2014.7005985
Filename :
7005985
Link To Document :
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