11 search results - page 1 / 3 » Analytical and numerical comparisons of biogeography-based o... |
ISCI
2011
12 years 11 months ago
2011
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Genetic algorithms are a population-based Meta heuristics. They have been successfully applied to many optimization problems. However, premature convergence is an inherent charact...
EMO
2006
Springer
13 years 8 months ago
2006
Springer
This paper presents a comprehensive comparison between the performance of state-of-the-art genetic algorithms NSGA-II, SPEA2 and IBEA and their differential evolution based variant...
ICCSA
2005
Springer
13 years 10 months ago
2005
Springer
Various global optimization methods are compared in order to find the best strategy to solve realistic drag reduction problems in the automotive industry. All the methods consist ...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. A model of coevolutioinary genetic algorithms (COGA) consisting of two populations coevolving on two-bit landscapes is investigated in terms of the effects of random par...