Random Walks And Neighborhood Bias In Oversubscribed Scheduling. In proceedings of the 2nd Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2005), 18 -21 July 2005, New York, USA, pages 98-105, 2005.
Paper
This paper presents new results showing that a very simple stochastic hill climbing algorithm is as good or better than more complex metaheuristic methods for solving an oversubscribed scheduling problem: scheduling communication contacts on the Air Force Satellite Control Network (AFSCN). The empirical results also suggest that the best neighborhood construction choices produce a search that is largely a greedy random walk of the graph induced by the complete neighborhood.
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@INPROCEEDINGS{2005-098-105-P, author = {M. Roberts and L. D. Whitley and A. E. Howe and L. Barbulescu},
title = {Random Walks And Neighborhood Bias In Oversubscribed Scheduling},
booktitle = {In proceedings of the 2nd Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2005), 18 -21 July 2005, New York, USA},
year = {2005},
editor = {G. Kendall and L. Lei and M. Pinedo},
pages = {98--105},
note = {Paper},
abstract = {This paper presents new results showing that a very simple stochastic hill climbing algorithm is as good or better than more complex metaheuristic methods for solving an oversubscribed scheduling problem: scheduling communication contacts on the Air Force Satellite Control Network (AFSCN). The empirical results also suggest that the best neighborhood construction choices produce a search that is largely a greedy random walk of the graph induced by the complete neighborhood.},
owner = {Faizah Hamdan},
timestamp = {2012.05.21},
webpdf = {2005-098-105-P.pdf} }