Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
568113 | Advances in Engineering Software | 2010 | 27 Pages |
Abstract
The article introduces a new mechanism for selecting individuals to a Pareto archive. It was combined with a micro-genetic algorithm and tested on several problems. The ability of this approach to produce individuals uniformly distributed along the Pareto set without negative impact on convergence is demonstrated on presented results. The new concept was confronted with NSGA-II, SPEA2, and IBEA algorithms from the PISA package. Another studied effect is the size of population versus number of generations for small populations.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Jaroslav Hájek, András Szöllös, Jakub Šístek,