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...

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Detalles Bibliográficos
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:
Electronic circuits.
Computational intelligence.
Mathematical optimization.
Electronic Circuits and Systems.
Computational Intelligence.
Optimization.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction to Multi-Objective Evolutionary Algorithms
  • Hardware/Software Partitioning for Embedded Systems
  • Circuit Partitioning for VLSI Layout
  • Design of Operational Amplifier
  • Design Space Exploration for Scheduling and Allocation in High Level Synthesis of Datapaths
  • Design Space Exploration of Datapath (Architecture) in High Level Synthesis for Computation Intensive Applications
  • Design Flow from Algorithm to RTL using Evolutionary Exploration Approach
  • Crosstalk Delay Fault Test Generation
  • Scheduling in Heterogeneous Distributed Systems.  .

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