512 search results - page 21 / 103 » On Evolutionary Optimization of Large Problems Using Small P... |
GECCO
2006
Springer
14 years 3 days ago
2006
Springer
Memetic algorithms are evolutionary algorithms incorporating local search to increase exploitation. This hybridization has been fruitful in countless applications. However, theory...
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...
EVOW
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. The Traveling Salesman Problem (TSP) is a well-known NPhard combinatorial optimization problem, for which a large variety of evolutionary algorithms are known. However, t...
GECCO
2010
Springer
13 years 12 months ago
2010
Springer
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
TEC
2008
13 years 8 months ago
2008
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...