Software for Implementing the Sequential Elimination of Level Combinations Algorithm
Genetic algorithms (GAs) are a popular technology to search for an optimum in a large search space. Using new concepts of forbidden array and weighted mutation, Mandal, Wu, and Johnson (2006) used elements of GAs to introduce a new global optimization technique called sequential elimination of level combinations (SELC), that efficiently finds optimums. A SAS macro, and MATLAB and R functions are developed to implement the SELC algorithm.
Year of publication: |
2008-03-31
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Authors: | Johnson, Kjell ; Mandal, Abhyuday ; Ding, Tan |
Published in: |
Journal of Statistical Software. - American Statistical Association. - Vol. 25.2008, i06
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Publisher: |
American Statistical Association |
Saved in:
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