Title :
An evolutionary multi-agent system for production scheduling
Author :
Pendharkar, Parag C.
Author_Institution :
Pennsylvania State Univ., Harrisburg, PA
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;
Conference_Titel :
Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-9354-6
DOI :
10.1109/CCA.2005.1507251
