Title
Generating coefficients for optimization test problems with implicit correlation induction
Abstract
We consider methods for inducing correlation between the objective function and constraint coefficients in 0-1 Knapsack, Generalized Assignment, Capital Budgeting, and Set Covering Problems. Each of the methods that we examine is an implicit correlation-induction (ICI) method that has been featured in the literature. Unfortunately, the correlation levels used in the corresponding computational experiments are typically neither quantified nor systematically controlled. We present closed-form expressions for the population correlation levels induced with the ICI methods to facilitate the quantification and systematic control of the correlation levels in computational experiments. We also discuss the advantages and disadvantages of ICI methods.
Publication Date
12-1-1997
Publication Title
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume
3
Number of Pages
2438-2443
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0031375750 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0031375750
STARS Citation
Reilly, Charles H., "Generating coefficients for optimization test problems with implicit correlation induction" (1997). Scopus Export 1990s. 3091.
https://stars.library.ucf.edu/scopus1990/3091