On the Performance of Simulated Annealing for Large-Scale L2 Unidimensional Scaling

被引:0
|
作者
Michael J. Brusco
机构
[1] Department of Marketing,
[2] College of Business,undefined
[3] Florida State University,undefined
来源
Journal of Classification | 2006年 / 23卷
关键词
Simulated Annealing; Test Problem; Simulated Annealing Algorithm; Trial Solution; Efficient Storage;
D O I
暂无
中图分类号
学科分类号
摘要
In this research note, I present a modified version of G. De Soete, L. Hubert, and P. Arabie’s (1988) simulated annealing approach for the problem of L2 unidimensional scaling via maximization of the Defays criterion. The modifications include efficient storage and computation methods that facilitate rapid evaluation of trial solutions. The results of two experimental studies indicate that the enhanced simulated annealing algorithm is competitive with A. Murillo, J.F. Vera, and W.J. Heiser’s (2005) recently published pertsaus2 procedure in terms of solution quality and computation time. Both Fortran and MatLab versions of this modified simulated annealing implementation are available from the author.
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页码:255 / 268
页数:13
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