This paper presents a novel optimization tool, which was made for the design of the analog integrated circuits. The proposed tool is based on the robust version of the differential evolution optimization algorithm. Corners of technology, temperature, voltage and current supplies are taken into account during the optimization. This ensures robust resulting circuits. These circuits usually do not need any schematic change and are ready for the layout. The developed tool is implemented directly to the Cadence design environment to achieve very short setup time of the optimizations. The design automation procedure was enhanced by novel optimization watchdog feature. It was created to control optimization progress and to reduce the search space ...
The vast majority of state-of-the-art integrated circuits are mixed-signal chips. While the design o...
This article introduces an evolution-based methodology, named memetic single-objective evolutionary ...
This article introduces an evolution-based methodology, named memetic single-objective evolutionary ...
This paper presents a new optimization tool for analog circuit design. Proposed tool is based on the...
This paper presents a novel optimization tool, which was made for the design of the analog integrate...
Abstract1 — This paper presents a new design automation tool based on a modified genetic algorithm k...
Although Analog Integrated Circuits (ICs) only account for a small portion of the entire modern Syst...
In this paper, a tool based on free software to perform low level optimization on analog designs is ...
In this paper, a novel approach for robust automatic optimization of analog circuits with bipolar tr...
This paper investigates a hybrid evolutionary-based design system for automated sizing of analog int...
The goal of this paper is to present a tool for automatic sizing of analog basic integrated blocks u...
With the advent of submicron CMOS process technologies, application of current-voltage model equatio...
This book introduces readers to a variety of tools for automatic analog integrated circuit (IC) sizi...
This work presents a novel method that is used for optimizing and provide automation in analog IC de...
The ever increasing pace of analog IC design demands efficient means of automated design and optimiz...
The vast majority of state-of-the-art integrated circuits are mixed-signal chips. While the design o...
This article introduces an evolution-based methodology, named memetic single-objective evolutionary ...
This article introduces an evolution-based methodology, named memetic single-objective evolutionary ...
This paper presents a new optimization tool for analog circuit design. Proposed tool is based on the...
This paper presents a novel optimization tool, which was made for the design of the analog integrate...
Abstract1 — This paper presents a new design automation tool based on a modified genetic algorithm k...
Although Analog Integrated Circuits (ICs) only account for a small portion of the entire modern Syst...
In this paper, a tool based on free software to perform low level optimization on analog designs is ...
In this paper, a novel approach for robust automatic optimization of analog circuits with bipolar tr...
This paper investigates a hybrid evolutionary-based design system for automated sizing of analog int...
The goal of this paper is to present a tool for automatic sizing of analog basic integrated blocks u...
With the advent of submicron CMOS process technologies, application of current-voltage model equatio...
This book introduces readers to a variety of tools for automatic analog integrated circuit (IC) sizi...
This work presents a novel method that is used for optimizing and provide automation in analog IC de...
The ever increasing pace of analog IC design demands efficient means of automated design and optimiz...
The vast majority of state-of-the-art integrated circuits are mixed-signal chips. While the design o...
This article introduces an evolution-based methodology, named memetic single-objective evolutionary ...
This article introduces an evolution-based methodology, named memetic single-objective evolutionary ...