1253 search results - page 3 / 251 » Convergence of Evolutionary Algorithms in General Search Spa... |
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
EMO
2005
Springer
15 years 2 months ago
2005
Springer
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applied to real-world problems. Their highly multi-mo...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the field of evolutionary computation show that the use of modularity improves...
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. We describe and critique the convergence properties of filterbased evolutionary pattern search algorithms (F-EPSAs). F-EPSAs implicitly use a filter to perform a multi-...