AI-Driven Optimization for EDA: Balancing Symmetry and Asymmetry

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 22

Special Issue Editors


E-Mail Website
Guest Editor
Laboratory of Engineering Sciences, Department of Physics, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Fez, Morocco
Interests: optimization; evolutionary algorithms; research methods; neural networks; low power application; cmos layout design; analog mixed-signal ic; biomedical applications; analog ic design; mos circuit design and layout

E-Mail Website
Guest Editor
Laboratory of Engineering Sciences (LSI), Faculty of Taza Polydiscipline, University of Sidi Mohamed Ben Abdellah, Fez, Morocco
Interests: microélectronique; electronique; optimization; traçablilité intelligente; décodage LDPC

Special Issue Information

Dear Colleagues,

The growing complexity of Electronic Design Automation (EDA) calls for intelligent, adaptive solutions. As AI-driven optimization methods—such as machine learning, deep learning, and metaheuristics—become integral to EDA workflows, the roles of symmetry and asymmetry in circuit structures and design processes have become increasingly relevant. Symmetry often underpins balanced circuit topologies and regular layouts, contributing to improved performance and manufacturability. In contrast, asymmetry arises naturally due to design constraints, parasitics, mismatches, or performance trade-offs, and, when properly exploited, can offer optimization advantages.

This Special Issue aims to explore how understanding and leveraging symmetry and asymmetry can enhance AI-driven optimization techniques in EDA. We invite high-quality original research and review articles that address this interplay and contribute to smarter, more efficient electronic system design.

Topics of interest include (but are not limited to) the following:

  • Symmetry-aware deep learning models for EDA;
  • Asymmetry in optimization;
  • Symmetric/asymmetric circuit sizing and placement;
  • Optimization algorithms;
  • Machine learning for parasitic-aware design;
  • Design rule-aware layout generation using symmetry principles;
  • Symmetry-breaking techniques in evolutionary optimization.

We welcome both theoretical insights and practical implementations that bridge AI, optimization, and EDA through the lens of symmetry and asymmetry.

Dr. Abdelaziz Lberni
Prof. Dr. Abdelaziz Ahaitouf
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • AI-driven optimization
  • electronic design automation
  • symmetry in circuit design
  • asymmetry in optimization
  • machine learning in EDA
  • neural networks and their applications in EDA
  • metaheuristic algorithms
  • deep learning for design automation
  • design space exploration
  • circuit optimization

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers

This special issue is now open for submission.
Back to TopTop