Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems, Softcover reprint of the original 1st ed. 2015
Coordonnateur : Bhuvaneswari M.C.
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.
One of its kind book on multi-objective optimization applied to VLSI design and embedded systems
Introduces multi-objective genetic algorithms (GA) and particle swarm optimization (PSO)
Analyzes experimental results
Includes supplementary material: sn.pub/extras
Date de parution : 09-2016
Ouvrage de 174 p.
15.5x23.5 cm
Date de parution : 09-2014
Ouvrage de 174 p.
15.5x23.5 cm