Computational Intelligence in Electronic Design, , NN

Abbrevation

call for book chapters

Country

Deadline Paper

2014-07-01

Start Date

2014-03-15

End Date

2014-10-01

Abstract

A book edited by Mourad Fakhfakh (University of Sfax, Tunisia), Esteban Tlelo–Cuautle (INAOE, Mexico), and Patrick Siarry (University of Paris–Est CrÃ©teil, France) To be published by SPRINGER Objective of the Book: The book will collect recent advances in computational intelligence, such as algorithms, design methods and techniques, and tools focused on the design automation of integrated circuits and systems. The goal is devoted to highlight new biasing and sizing approaches and optimization techniques, and will highlight their application to the design of high performance digital, analog, VLSI, radio–frequency and mixed–signal circuits and systems. Recommended topics include, but are not limited to, the following: – Computational intelligence in EDA, – Memetic, multi–meme and hybrid algorithms in the design automation of circuits and systems, – Theory and applications of evolutionary algorithms in the digital, AMS/RF circuit design and synthesis, – Swarm intelligence in the design and synthesis of electronic circuits, – Application of heuristics, metaheuristics and hyperheuristics to VLSI design, – Reliability and performance optimization for digital, analog, mixed–signal, and RF circuits, – Recent advances in optimization tools and methodologies for CAD, – Equation–based and simulation–based optimization techniques, – Applications of computational intelligence in the Yield optimization, design centering, and design trade–offs of integrated circuits, – Optimization of IP integration, Advanced system–on–chip optimization, – System–level energy optimization of HW embedded systems, – System–level trade–off analysis and multi–objective (yield, power, delay, area â€¦) optimization, – Technology–independent/technology–aware optimization, – Cell–library design and optimization, – Post–placement optimization, – Cell–library design optimization, – Power, thermal and leakage optimization, – Neural and bio–inspired techniques applied in the related domains, – Optimization for new electronics and applications.