|Title||Software for Implementing the Sequential Elimination of Level Combinations Algorithm|
|Publication Type||Journal Article|
|Year of Publication||2008|
|Authors||Johnson, K, Mandal, A, Ding, T|
|Journal||JOURNAL OF STATISTICAL SOFTWARE|
|Type of Article||Article|
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.
Software for Implementing the Sequential Elimination of Level Combinations Algorithm