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Optimal computing budget allocation for small computing budgets

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LaPorte, G. Jake, Branke, Jürgen and Chen, Chun-Hung (2012) Optimal computing budget allocation for small computing budgets. In: 2012 Winter Simulation Conference, WSC 2012, Berlin, Germany, 9-12 Dec 2012. Published in: Proceedings of the 2012 Winter Simulation Conference (WSC) pp. 1-13. doi:10.1109/WSC.2012.6465085

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Official URL: http://dx.doi.org/10.1109/WSC.2012.6465085

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Abstract

In this paper, we develop an optimal computing budget allocation (OCBA) algorithm for selecting a subset of designs under the restriction of an extremely small computing budget. Such an algorithm is useful in population based Evolutionary Algorithms (EA) and other applications that seek an elite subset of designs.

Item Type: Conference Item (Paper)
Divisions: Faculty of Social Sciences > Warwick Business School > Operational Research & Management Sciences
Faculty of Social Sciences > Warwick Business School
Journal or Publication Title: Proceedings of the 2012 Winter Simulation Conference (WSC)
Publisher: IEEE
Book Title: Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)
Official Date: 2012
Dates:
DateEvent
2012Published
Page Range: pp. 1-13
DOI: 10.1109/WSC.2012.6465085
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 2012 Winter Simulation Conference, WSC 2012
Type of Event: Conference
Location of Event: Berlin, Germany
Date(s) of Event: 9-12 Dec 2012

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