937 search results - page 65 / 188 » Hybrid Evolutionary Algorithm for Solving Global Optimizatio... |
CEC
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
GECCO
2010
Springer
14 years 2 months ago
2010
Springer
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
ICCSA
2005
Springer
14 years 2 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 ...
EOR
2007
13 years 9 months ago
2007
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...