An evolutionary multi-agent system for production scheduling

Author

Pendharkar, Parag C.

Author_Institution

Pennsylvania State Univ., Harrisburg, PA

fYear

2005

fDate

28-31 Aug. 2005

Firstpage

946

Lastpage

950

Abstract

In this paper, we develop and test multi-agent coordination strategies for dynamic production scheduling. First, we develop a multi-agent coordination strategy and show the existence of conjectural equilibrium. Next, we test the proposed coordination strategy and show that multi-agent coordination performs better than heuristic dispatching rules for production scheduling

Keywords

multi-agent systems; production control; production engineering computing; scheduling; conjectural equilibrium; dynamic production scheduling; evolutionary multiagent system; heuristic dispatching rule; multiagent coordination strategy; Decision making; Dispatching; Dynamic scheduling; Evolutionary computation; Genetic algorithms; Job shop scheduling; Multiagent systems; Object oriented modeling; Production systems; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on

Conference_Location

Toronto, Ont.

Print_ISBN

0-7803-9354-6

Type

conf

DOI

10.1109/CCA.2005.1507251

Filename

1507251

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1978404