Application of genetic algorithms to a manufacturing industry scheduling multi-agent system

被引：0

作者：

Solari, Maria de los Angeles ^{[1
]}

Ocampo, Ernesto ^{[1
]}

机构：

[1] UCUDAL, Fac Ingn & Tecnol, Montevideo 11600, Uruguay

来源：

INNOVATIVE ALGORITHMS AND TECHNIQUES IN AUTOMATION, INDUSTRIAL ELECTRONICS AND TELECOMMUNICATIONS | 2007年

关键词：

genetic algorithms; intelligent agents; multiagent systems; scheduling; manufacturing industry;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work presents the research about the application of Genetic Algorithms to a scheduling multi-agent system on a textile manufacturing industry. Manufacturing industries competitiveness greatly depends on their ability to plan and schedule their processes in the most efficient way, as it impacts on production cost and time. Assigning jobs to scarce resources is not an easy to resolve task, mainly in the complex industrial processes context. This research's objective is to assess the applicability of Genetic Algorithms to a multi-agent production scheduling system aiming to obtain higher performance levels.

引用

页码：263 / 268

页数：6

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