Sciweavers

Share
KES
2007
Springer

Experimental Analysis of the Aging Operator for Static and Dynamic Optimisation Problems

10 years 1 months ago
Experimental Analysis of the Aging Operator for Static and Dynamic Optimisation Problems
Abstract. This work presents an analysis of the static Aging operator for different evolutionary algorithms: two immunological algorithms (OptIA and Clonalg), a standard genetic algorithm SGA, and Differential Evolution (DE) algorithm. The algorithms were tested against standard benchmarks in both unconstrained and dynamic optimisation problems. This work analyses whether the aging operator improves the results when applied to evolutionary algorithms. With the exception of DE, the results report that every algorithm shows an improvement in performance when used in combination with Aging.
Mario Castrogiovanni, Giuseppe Nicosia, Rosario Ra
Added 16 Dec 2010
Updated 16 Dec 2010
Type Journal
Year 2007
Where KES
Authors Mario Castrogiovanni, Giuseppe Nicosia, Rosario Rascunà
Comments (0)
books