@inproceedings{f911a8deb88e4fce969560a5084e1911,
title = "MULTIPROCESSOR SCHEDULING BY MEAN FIELD THEORY",
abstract = "In this paper, we develop an optimization scheme based on Mean Field Theory (MFT) to solve the Task Scheduling Problem. The algorithm combines characteristics of the Simulated Annealing (SA) algorithm and the Hopfield neural network. The temperature behavior of MFT for the task scheduling problem is shown to possess a critical temperature (Tc) below which an optimal solution may be achieved. The algorithm has been applied to various task graphs, and promising results have been obtained.",
author = "Zhang, {Zeeman Z.} and Nirwan Ansari and Edwin Hou and Yi, {Pei Ken}",
note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 International Joint Conference on Neural Networks, IJCNN 1992 ; Conference date: 07-06-1992 Through 11-06-1992",
year = "1992",
doi = "10.1109/IJCNN.1992.227256",
language = "English (US)",
series = "Proceedings of the International Joint Conference on Neural Networks",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "582--587",
booktitle = "Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992",
address = "United States",
}