416 search results - page 6 / 84 » Parallel evolutionary training algorithms for |
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
AE
2003
Springer
13 years 11 months ago
2003
Springer
ParaDisEO is a framework dedicated to the design of parallel and distributed metaheuristics including local search methods and evolutionary algorithms. This paper focuses on the la...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In this paper an island model is described for the unconstrained Binary Quadratic Problem (BQP), which can be used with up to 2500 binary variables. Our island model uses a master...
IPPS
1998
IEEE
13 years 11 months ago
1998
IEEE
Abstract. Nowadays genetic algorithms stand as a trend to solve NPcomplete and NP-hard problems. In this paper, we present a new hybrid metaheuristic which uses Parallel Genetic Al...
