371 search results - page 8 / 75 » Multi-objective design space exploration using genetic algor... |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
ISDA
2008
IEEE
14 years 2 months ago
2008
IEEE
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
MMB
2012
Springer
12 years 3 months ago
2012
Springer
Abstract. During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with h...
ESTIMEDIA
2009
Springer
14 years 2 months ago
2009
Springer
— The complexity of today’s embedded systems forces designers to model and simulate systems and their components to explore the wide range of design choices. Such design space ...