Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimization problems can be modell...
Clasificación: | Libro Electrónico |
---|---|
Autor Corporativo: | SpringerLink (Online service) |
Otros Autores: | Bhuvaneswari, M.C (Editor ) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New Delhi :
Springer India : Imprint: Springer,
2015.
|
Edición: | 1st ed. 2015. |
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms
por: Rocha, Frederico A.E, et al.
Publicado: (2014) -
AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing
por: Lourenço, Ricardo, et al.
Publicado: (2015) -
Sensors: Theory, Algorithms, and Applications
Publicado: (2012) -
Multi-Net Optimization of VLSI Interconnect
por: Moiseev, Konstantin, et al.
Publicado: (2015) -
Multimodal Optimization by Means of Evolutionary Algorithms
por: Preuss, Mike
Publicado: (2015)