| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 496140 | Applied Soft Computing | 2013 | 20 Pages |
Abstract
⺠Previous paper presented the Genetic Diversity Evolutionary Algorithm (GeDEA). ⺠A great step forward is here presented which we called GeDEA-II. ⺠It features a novel crossover operator, the Simplex-Crossover, and a novel mutation operator, the Shrink-Mutation. ⺠Comparison is given among GeDEA-II and other modern elitist methods on different extremely multidimensional test problems. ⺠Performance of GeDEA-II on test cases is shown.
Related Topics
Physical Sciences and Engineering
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Computer Science Applications
Authors
Claudio Comis Da Ronco, Ernesto Benini,