Publication detail

Tutorial: Evolutionary Design Methods in Electronic Design Automation

SEKANINA, L.

Original Title

Tutorial: Evolutionary Design Methods in Electronic Design Automation

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

The use of evolutionary algorithms (EAs) for the automated design of programs, electronic circuits, neural networks, and other computational structures has become a fruitful approach in the last two decades. The advantage of EAs is that they can handle the design process in a holistic, multiobjective way and create solutions with unique properties. This tutorial surveys the key ingredients of EAs and focuses mainly on genetic programming. It presents several techniques (such as incorporating formal verification methods and surrogate models) to improve the scalability of the method. Examples of evolved solutions (approximate arithmetic circuits, neural network architectures, and image filters) that show unique properties compared to conventional designs are presented and discussed.

Keywords

accelerator, approximate circuit, electronic design automation, genetic programming, machine learning

Authors

SEKANINA, L.

Released

18. 11. 2024

Publisher

IEEE Computer Society

Location

Milano

ISBN

979-8-3503-8040-8

Book

IEEE 42nd International Conference on Computer Design (ICCD)

Pages from

689

Pages to

690

Pages count

2

BibTex

@inproceedings{BUT193352,
  author="Lukáš {Sekanina}",
  title="Tutorial: Evolutionary Design Methods in Electronic Design Automation",
  booktitle="IEEE 42nd International Conference on Computer Design (ICCD)",
  year="2024",
  pages="689--690",
  publisher="IEEE Computer Society",
  address="Milano",
  doi="10.1109/ICCD63220.2024.001",
  isbn="979-8-3503-8040-8"
}