Genetic Algorithm Adoption to Transport Task Optimization

被引：15

作者：

Burduk, Anna ^{[1
]}

Musial, Kamil ^{[1
]}

机构：

[1] Wroclaw Univ Technol, Mech Dept, Wroclaw, Poland

来源：

INTERNATIONAL JOINT CONFERENCE SOCO'16- CISIS'16-ICEUTE'16 | 2017年 / 527卷

关键词：

Optimization of production systems; Generic algorithms;

D O I：

10.1007/978-3-319-47364-2_35

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper presents an optimization task of transportation - production solved with genetic algorithms. For the network of processing plants (factories) and collection centers the cost-optimal transportation plan will be established. Plan is regarding to raw materials to the relevant factories. Task of transportation - production regard to the milk transport and processing will be investigated. It is assumed that the functions defining the costs of processing are polynomials of the second degree. Genetic algorithms, their properties and capabilities in solving computational problems will be described and conclusions will be presented. The program that uses genetic algorithms written in MATLAB will be used to solve an investigated issue.

引用

页码：366 / 375

页数：10

共 10 条

[1] GA and ICA approaches to job rotation scheduling problem: considering employee's boredom [J].

Ayough, Ashkan ;

Zandieh, M. ;

Farsijani, H. .

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 60 (5-8) :651-666

[2]

Chodak G., 2000, Information Systems Architecture and Technology ISAT 2000. Proceedings of the 22nd International Scientific School Managing Growth of Organisation Information and Technical Issues, P91

[3] Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing [J].