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E(s^2)-optimal and minimax-optimal cyclic supersaturated designs via multi-objective simulated annealing

E(s^2)-optimal and minimax-optimal cyclic supersaturated designs via multi-objective simulated annealing
E(s^2)-optimal and minimax-optimal cyclic supersaturated designs via multi-objective simulated annealing
In this paper, we are interested in finding E(s2)E(s2)-optimal and minimax-optimal, two level cyclic structured supersaturated designs through a metaheuristic approach guided via multi-objective simulated annealing (SA). Our construction method is based on cyclic generators. This class of metaheuristics enabled us to build supersaturated designs for q=2,4,…,14q=2,4,…,14 generators. Comparisons are made with previous works and it is shown that SA gives promising results for supersaturated designs that satisfy more than one optimality property. Furthermore, we provide some lower bounds and explicit formulas for the frequency of the elements with maximum absolute values that appear in the information matrix, when these values are 2, 4 or 6.
cyclic generator, E(s2)E(s2)-optimality, factorial designs, metaheuristics, minimax-optimality, multi-objective optimization, simulated annealing, supersaturated designs
0378-3758
1639-1646
Koukouvinos, Christos
9c88d32d-b519-4d78-a60d-66418cab1926
Mylona, Kalliopi
b44af287-2d9f-4df8-931c-32d8ab117864
Simos, Dimitris E.
43623cd1-b856-40aa-bf69-a6a5d6f8bc92
Koukouvinos, Christos
9c88d32d-b519-4d78-a60d-66418cab1926
Mylona, Kalliopi
b44af287-2d9f-4df8-931c-32d8ab117864
Simos, Dimitris E.
43623cd1-b856-40aa-bf69-a6a5d6f8bc92

Koukouvinos, Christos, Mylona, Kalliopi and Simos, Dimitris E. (2008) E(s^2)-optimal and minimax-optimal cyclic supersaturated designs via multi-objective simulated annealing. Journal of Statistical Planning and Inference, 138 (6), 1639-1646. (doi:10.1016/j.jspi.2007.05.044).

Record type: Article

Abstract

In this paper, we are interested in finding E(s2)E(s2)-optimal and minimax-optimal, two level cyclic structured supersaturated designs through a metaheuristic approach guided via multi-objective simulated annealing (SA). Our construction method is based on cyclic generators. This class of metaheuristics enabled us to build supersaturated designs for q=2,4,…,14q=2,4,…,14 generators. Comparisons are made with previous works and it is shown that SA gives promising results for supersaturated designs that satisfy more than one optimality property. Furthermore, we provide some lower bounds and explicit formulas for the frequency of the elements with maximum absolute values that appear in the information matrix, when these values are 2, 4 or 6.

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More information

e-pub ahead of print date: 12 August 2007
Published date: 1 July 2008
Keywords: cyclic generator, E(s2)E(s2)-optimality, factorial designs, metaheuristics, minimax-optimality, multi-objective optimization, simulated annealing, supersaturated designs
Organisations: Statistics

Identifiers

Local EPrints ID: 336710
URI: http://eprints.soton.ac.uk/id/eprint/336710
ISSN: 0378-3758
PURE UUID: 4f1aa0ac-4e14-4d7d-af9b-01fce35534dc

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Date deposited: 03 Apr 2012 14:59
Last modified: 14 Mar 2024 10:46

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Contributors

Author: Christos Koukouvinos
Author: Kalliopi Mylona
Author: Dimitris E. Simos

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