Work

MOIL: An Efficient Multi-objective Optimization Framework for SRAM Cell with Incremental Learning

Year: 2025

Type: conference-paper

Source: International Symposium of Electronics Design Automation (ISEDA)

DOI: 10.1109/iseda65950.2025.11101116

Authors: Baokang Peng, Guoyao Cheng, Jiajun Qiu, Runsheng Wang, Lining Zhang

Institution: Peking University

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Key Research and Development Program of China

OpenAlex ID: W4413120679

FWCI:

Cites: 21

Cited by:

Related to: 10