744 search results - page 12 / 149 » Parallelization of Multi-objective Evolutionary Algorithms U... |
NC
2002
13 years 7 months ago
2002
In this paper, Parallel Evolutionary Algorithms for integer weight neural network training are presented. To this end, each processor is assigned a subpopulation of potential solut...
IPL
2002
13 years 7 months ago
2002
One of the main reasons for using parallel evolutionary algorithms (PEAs) is to obtain efficient algorithms with an execution time much lower than that of their sequential counter...
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...
CEC
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
GEM
2008
13 years 9 months ago
2008
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...