Passive design optimization of low energy buildings in different climates
Worldwide, the residential buildings are consuming a considerable amount of energy. The
high potential of buildings towards energy efficiency has drawn special attention to the …
high potential of buildings towards energy efficiency has drawn special attention to the …
Multi-objective optimization methodology for net zero energy buildings
Abstract The challenge in Net Zero Energy Building (NZEB) design is to find the best
combination of design strategies that will face the energy performance problems of a …
combination of design strategies that will face the energy performance problems of a …
Swarm intelligence-based approach for optimal design of CMOS differential amplifier and comparator circuit using a hybrid salp swarm algorithm
S Asaithambi, M Rajappa - Review of Scientific Instruments, 2018 - pubs.aip.org
In this paper, an automatic design method based on a swarm intelligence approach for
CMOS analog integrated circuit (IC) design is presented. The hybrid meta-heuristics …
CMOS analog integrated circuit (IC) design is presented. The hybrid meta-heuristics …
Knowledge Transfer Framework for PVT Robustness in Analog Integrated Circuits
Process, voltage, and temperature (PVT) variations in chip fabrication or operation pose a
significant challenge to the robustness of analog integrated circuits. Existing design …
significant challenge to the robustness of analog integrated circuits. Existing design …
Node deployment in wireless sensor networks using the new multi‐objective Levy flight bee algorithm
Wireless sensor networks (WSNs) play a prominent role in the world of computer networks.
WSNs rely on deployment as a basic requirement and an effective factor on the basic …
WSNs rely on deployment as a basic requirement and an effective factor on the basic …
Multi-Task Evolutionary to PVT Knowledge Transfer for Analog Integrated Circuit Optimization
Designing analog integrated circuits (ICs), particularly sensors and reference circuits,
requires a significant amount of human expertise and time, largely due to the requirement of …
requires a significant amount of human expertise and time, largely due to the requirement of …
BP Neural Network Modeling and Solving Acceleration of Analog ICs
B Liu, W Zhang, W Duan, Q Meng - Circuits, Systems, and Signal …, 2023 - Springer
A novel accuracy-aware modeling and solving approach of adopting a back-propagation
neural network (BP-NN) targeting to a classical analog five-transistor operational …
neural network (BP-NN) targeting to a classical analog five-transistor operational …
Robust circuit optimization under PVT variations via weight optimization problem reformulation
J Li, Y Li, Y Zeng - Expert Systems with Applications, 2024 - Elsevier
Robust design in analog integrated circuits (ICs) is intricate due to process variations,
culminating in notable performance uncertainties. Contemporary surrogate-based …
culminating in notable performance uncertainties. Contemporary surrogate-based …
Optimal design of net zero energy buildings under different climates
F Harkouss - 2018 - theses.hal.science
The conception of net zero energy buildings (NZEB) has been introduced to limit energy
consumption, global warming potentials, and pollution emissions in buildings. The …
consumption, global warming potentials, and pollution emissions in buildings. The …
Deep learning aided efficient yield analysis for multi-objective analog integrated circuit synthesis
Several automatic analog integrated circuit (IC) sizing tools have been proposed and
successfully applied to multi-objective circuit design problems over the last two decades …
successfully applied to multi-objective circuit design problems over the last two decades …