Detail publikace

Genetic Programming Operators for Work-Flow Optimization in Logistic Distribution Centers

Originální název

Genetic Programming Operators for Work-Flow Optimization in Logistic Distribution Centers

Anglický název

Genetic Programming Operators for Work-Flow Optimization in Logistic Distribution Centers

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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",
  annote="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.",
  booktitle="2013 Sixth International Conference on Contemporary Computing (IC3-2013)",
  chapter="110189",
  doi="10.1109/MedCom.2014.7005985",
  howpublished="electronic, physical medium",
  year="2014",
  month="november",
  pages="105--109",
  type="conference paper"
}