Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bhuvaneswari, M.C (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New Delhi : Springer India : Imprint: Springer, 2015.
• Θέματα: Engineering.; Mathematical optimization.; Computational intelligence.; Electronic circuits.; Circuits and Systems.; Computational Intelligence.; Optimization.

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...

Πίνακας περιεχομένων:

• 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.  .