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