Finding near-perfect parameters for hardware and code optimizations with automatic multi-objective design space explorations.
Ralf JahrHoria CalboreanLucian VintanTheo UngererPublished in: Concurr. Comput. Pract. Exp. (2015)
Keyphrases
- error detection
- design space
- multi objective
- design parameters
- multi objective optimization
- response surface
- evolutionary algorithm
- optimization algorithm
- multi objective evolutionary
- design space exploration
- design process
- genetic algorithm
- measured data
- real time
- design choices
- neural network
- parameter selection
- multi objective optimization problems
- design solutions
- search space
- pattern recognition
- optimal solution
- low cost
- human computer interaction
- objective function
- e learning
- particle swarm optimization
- source code